Spaces:
Runtime error
Runtime error
File size: 56,333 Bytes
ed4d993 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 |
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Use LangChain, GPT and Activeloop's Deep Lake to work with code base\n",
"In this tutorial, we are going to use Langchain + Activeloop's Deep Lake with GPT to analyze the code base of the LangChain itself. "
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Design"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"1. Prepare data:\n",
" 1. Upload all python project files using the `langchain_community.document_loaders.TextLoader`. We will call these files the **documents**.\n",
" 2. Split all documents to chunks using the `langchain_text_splitters.CharacterTextSplitter`.\n",
" 3. Embed chunks and upload them into the DeepLake using `langchain.embeddings.openai.OpenAIEmbeddings` and `langchain_community.vectorstores.DeepLake`\n",
"2. Question-Answering:\n",
" 1. Build a chain from `langchain.chat_models.ChatOpenAI` and `langchain.chains.ConversationalRetrievalChain`\n",
" 2. Prepare questions.\n",
" 3. Get answers running the chain.\n"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Implementation"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"### Integration preparations"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We need to set up keys for external services and install necessary python libraries."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#!python3 -m pip install --upgrade langchain deeplake openai"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Set up OpenAI embeddings, Deep Lake multi-modal vector store api and authenticate. \n",
"\n",
"For full documentation of Deep Lake please follow https://docs.activeloop.ai/ and API reference https://docs.deeplake.ai/en/latest/"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"# Please manually enter OpenAI Key"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Authenticate into Deep Lake if you want to create your own dataset and publish it. You can get an API key from the platform at [app.activeloop.ai](https://app.activeloop.ai)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"activeloop_token = getpass(\"Activeloop Token:\")\n",
"os.environ[\"ACTIVELOOP_TOKEN\"] = activeloop_token"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Prepare data "
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Load all repository files. Here we assume this notebook is downloaded as the part of the langchain fork and we work with the python files of the `langchain` repo.\n",
"\n",
"If you want to use files from different repo, change `root_dir` to the root dir of your repo."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CITATION.cff MIGRATE.md README.md libs\t poetry.toml\n",
"LICENSE Makefile\t docs\t poetry.lock pyproject.toml\n"
]
}
],
"source": [
"!ls \"../../../../../../libs\""
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2554\n"
]
}
],
"source": [
"from langchain_community.document_loaders import TextLoader\n",
"\n",
"root_dir = \"../../../../../../libs\"\n",
"\n",
"docs = []\n",
"for dirpath, dirnames, filenames in os.walk(root_dir):\n",
" for file in filenames:\n",
" if file.endswith(\".py\") and \"*venv/\" not in dirpath:\n",
" try:\n",
" loader = TextLoader(os.path.join(dirpath, file), encoding=\"utf-8\")\n",
" docs.extend(loader.load_and_split())\n",
" except Exception:\n",
" pass\n",
"print(f\"{len(docs)}\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Then, chunk the files"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Created a chunk of size 1010, which is longer than the specified 1000\n",
"Created a chunk of size 3466, which is longer than the specified 1000\n",
"Created a chunk of size 1375, which is longer than the specified 1000\n",
"Created a chunk of size 1928, which is longer than the specified 1000\n",
"Created a chunk of size 1075, which is longer than the specified 1000\n",
"Created a chunk of size 1063, which is longer than the specified 1000\n",
"Created a chunk of size 1083, which is longer than the specified 1000\n",
"Created a chunk of size 1074, which is longer than the specified 1000\n",
"Created a chunk of size 1591, which is longer than the specified 1000\n",
"Created a chunk of size 2300, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1018, which is longer than the specified 1000\n",
"Created a chunk of size 2787, which is longer than the specified 1000\n",
"Created a chunk of size 1018, which is longer than the specified 1000\n",
"Created a chunk of size 2311, which is longer than the specified 1000\n",
"Created a chunk of size 2811, which is longer than the specified 1000\n",
"Created a chunk of size 1186, which is longer than the specified 1000\n",
"Created a chunk of size 1497, which is longer than the specified 1000\n",
"Created a chunk of size 1043, which is longer than the specified 1000\n",
"Created a chunk of size 1020, which is longer than the specified 1000\n",
"Created a chunk of size 1232, which is longer than the specified 1000\n",
"Created a chunk of size 1334, which is longer than the specified 1000\n",
"Created a chunk of size 1221, which is longer than the specified 1000\n",
"Created a chunk of size 2229, which is longer than the specified 1000\n",
"Created a chunk of size 1027, which is longer than the specified 1000\n",
"Created a chunk of size 1361, which is longer than the specified 1000\n",
"Created a chunk of size 1057, which is longer than the specified 1000\n",
"Created a chunk of size 1204, which is longer than the specified 1000\n",
"Created a chunk of size 1420, which is longer than the specified 1000\n",
"Created a chunk of size 1298, which is longer than the specified 1000\n",
"Created a chunk of size 1062, which is longer than the specified 1000\n",
"Created a chunk of size 1008, which is longer than the specified 1000\n",
"Created a chunk of size 1025, which is longer than the specified 1000\n",
"Created a chunk of size 1206, which is longer than the specified 1000\n",
"Created a chunk of size 1202, which is longer than the specified 1000\n",
"Created a chunk of size 1206, which is longer than the specified 1000\n",
"Created a chunk of size 1272, which is longer than the specified 1000\n",
"Created a chunk of size 1092, which is longer than the specified 1000\n",
"Created a chunk of size 1303, which is longer than the specified 1000\n",
"Created a chunk of size 1029, which is longer than the specified 1000\n",
"Created a chunk of size 1117, which is longer than the specified 1000\n",
"Created a chunk of size 1438, which is longer than the specified 1000\n",
"Created a chunk of size 3055, which is longer than the specified 1000\n",
"Created a chunk of size 1628, which is longer than the specified 1000\n",
"Created a chunk of size 1566, which is longer than the specified 1000\n",
"Created a chunk of size 1179, which is longer than the specified 1000\n",
"Created a chunk of size 1006, which is longer than the specified 1000\n",
"Created a chunk of size 1213, which is longer than the specified 1000\n",
"Created a chunk of size 2461, which is longer than the specified 1000\n",
"Created a chunk of size 1849, which is longer than the specified 1000\n",
"Created a chunk of size 1398, which is longer than the specified 1000\n",
"Created a chunk of size 1469, which is longer than the specified 1000\n",
"Created a chunk of size 1220, which is longer than the specified 1000\n",
"Created a chunk of size 1048, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1052, which is longer than the specified 1000\n",
"Created a chunk of size 1052, which is longer than the specified 1000\n",
"Created a chunk of size 1304, which is longer than the specified 1000\n",
"Created a chunk of size 1147, which is longer than the specified 1000\n",
"Created a chunk of size 1236, which is longer than the specified 1000\n",
"Created a chunk of size 1411, which is longer than the specified 1000\n",
"Created a chunk of size 1181, which is longer than the specified 1000\n",
"Created a chunk of size 1357, which is longer than the specified 1000\n",
"Created a chunk of size 1706, which is longer than the specified 1000\n",
"Created a chunk of size 1099, which is longer than the specified 1000\n",
"Created a chunk of size 1221, which is longer than the specified 1000\n",
"Created a chunk of size 1066, which is longer than the specified 1000\n",
"Created a chunk of size 1223, which is longer than the specified 1000\n",
"Created a chunk of size 1202, which is longer than the specified 1000\n",
"Created a chunk of size 2806, which is longer than the specified 1000\n",
"Created a chunk of size 1180, which is longer than the specified 1000\n",
"Created a chunk of size 1338, which is longer than the specified 1000\n",
"Created a chunk of size 1074, which is longer than the specified 1000\n",
"Created a chunk of size 1025, which is longer than the specified 1000\n",
"Created a chunk of size 1017, which is longer than the specified 1000\n",
"Created a chunk of size 1497, which is longer than the specified 1000\n",
"Created a chunk of size 1151, which is longer than the specified 1000\n",
"Created a chunk of size 1287, which is longer than the specified 1000\n",
"Created a chunk of size 1359, which is longer than the specified 1000\n",
"Created a chunk of size 1075, which is longer than the specified 1000\n",
"Created a chunk of size 1037, which is longer than the specified 1000\n",
"Created a chunk of size 1080, which is longer than the specified 1000\n",
"Created a chunk of size 1354, which is longer than the specified 1000\n",
"Created a chunk of size 1033, which is longer than the specified 1000\n",
"Created a chunk of size 1473, which is longer than the specified 1000\n",
"Created a chunk of size 1074, which is longer than the specified 1000\n",
"Created a chunk of size 2091, which is longer than the specified 1000\n",
"Created a chunk of size 1388, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1158, which is longer than the specified 1000\n",
"Created a chunk of size 1683, which is longer than the specified 1000\n",
"Created a chunk of size 2424, which is longer than the specified 1000\n",
"Created a chunk of size 1877, which is longer than the specified 1000\n",
"Created a chunk of size 1002, which is longer than the specified 1000\n",
"Created a chunk of size 2175, which is longer than the specified 1000\n",
"Created a chunk of size 1011, which is longer than the specified 1000\n",
"Created a chunk of size 1915, which is longer than the specified 1000\n",
"Created a chunk of size 1587, which is longer than the specified 1000\n",
"Created a chunk of size 1969, which is longer than the specified 1000\n",
"Created a chunk of size 1687, which is longer than the specified 1000\n",
"Created a chunk of size 1732, which is longer than the specified 1000\n",
"Created a chunk of size 1322, which is longer than the specified 1000\n",
"Created a chunk of size 1339, which is longer than the specified 1000\n",
"Created a chunk of size 3083, which is longer than the specified 1000\n",
"Created a chunk of size 2148, which is longer than the specified 1000\n",
"Created a chunk of size 1647, which is longer than the specified 1000\n",
"Created a chunk of size 1698, which is longer than the specified 1000\n",
"Created a chunk of size 1012, which is longer than the specified 1000\n",
"Created a chunk of size 1919, which is longer than the specified 1000\n",
"Created a chunk of size 1676, which is longer than the specified 1000\n",
"Created a chunk of size 1581, which is longer than the specified 1000\n",
"Created a chunk of size 2559, which is longer than the specified 1000\n",
"Created a chunk of size 1247, which is longer than the specified 1000\n",
"Created a chunk of size 1220, which is longer than the specified 1000\n",
"Created a chunk of size 1768, which is longer than the specified 1000\n",
"Created a chunk of size 1287, which is longer than the specified 1000\n",
"Created a chunk of size 1300, which is longer than the specified 1000\n",
"Created a chunk of size 1390, which is longer than the specified 1000\n",
"Created a chunk of size 1423, which is longer than the specified 1000\n",
"Created a chunk of size 1018, which is longer than the specified 1000\n",
"Created a chunk of size 1185, which is longer than the specified 1000\n",
"Created a chunk of size 2858, which is longer than the specified 1000\n",
"Created a chunk of size 1149, which is longer than the specified 1000\n",
"Created a chunk of size 1730, which is longer than the specified 1000\n",
"Created a chunk of size 1026, which is longer than the specified 1000\n",
"Created a chunk of size 1913, which is longer than the specified 1000\n",
"Created a chunk of size 1362, which is longer than the specified 1000\n",
"Created a chunk of size 1324, which is longer than the specified 1000\n",
"Created a chunk of size 1073, which is longer than the specified 1000\n",
"Created a chunk of size 1455, which is longer than the specified 1000\n",
"Created a chunk of size 1621, which is longer than the specified 1000\n",
"Created a chunk of size 1516, which is longer than the specified 1000\n",
"Created a chunk of size 1633, which is longer than the specified 1000\n",
"Created a chunk of size 1620, which is longer than the specified 1000\n",
"Created a chunk of size 1856, which is longer than the specified 1000\n",
"Created a chunk of size 1562, which is longer than the specified 1000\n",
"Created a chunk of size 1729, which is longer than the specified 1000\n",
"Created a chunk of size 1203, which is longer than the specified 1000\n",
"Created a chunk of size 1307, which is longer than the specified 1000\n",
"Created a chunk of size 1331, which is longer than the specified 1000\n",
"Created a chunk of size 1295, which is longer than the specified 1000\n",
"Created a chunk of size 1101, which is longer than the specified 1000\n",
"Created a chunk of size 1090, which is longer than the specified 1000\n",
"Created a chunk of size 1241, which is longer than the specified 1000\n",
"Created a chunk of size 1138, which is longer than the specified 1000\n",
"Created a chunk of size 1076, which is longer than the specified 1000\n",
"Created a chunk of size 1210, which is longer than the specified 1000\n",
"Created a chunk of size 1183, which is longer than the specified 1000\n",
"Created a chunk of size 1353, which is longer than the specified 1000\n",
"Created a chunk of size 1271, which is longer than the specified 1000\n",
"Created a chunk of size 1778, which is longer than the specified 1000\n",
"Created a chunk of size 1141, which is longer than the specified 1000\n",
"Created a chunk of size 1099, which is longer than the specified 1000\n",
"Created a chunk of size 2090, which is longer than the specified 1000\n",
"Created a chunk of size 1056, which is longer than the specified 1000\n",
"Created a chunk of size 1120, which is longer than the specified 1000\n",
"Created a chunk of size 1048, which is longer than the specified 1000\n",
"Created a chunk of size 1072, which is longer than the specified 1000\n",
"Created a chunk of size 1367, which is longer than the specified 1000\n",
"Created a chunk of size 1246, which is longer than the specified 1000\n",
"Created a chunk of size 1766, which is longer than the specified 1000\n",
"Created a chunk of size 1105, which is longer than the specified 1000\n",
"Created a chunk of size 1400, which is longer than the specified 1000\n",
"Created a chunk of size 1488, which is longer than the specified 1000\n",
"Created a chunk of size 1672, which is longer than the specified 1000\n",
"Created a chunk of size 1137, which is longer than the specified 1000\n",
"Created a chunk of size 1500, which is longer than the specified 1000\n",
"Created a chunk of size 1224, which is longer than the specified 1000\n",
"Created a chunk of size 1414, which is longer than the specified 1000\n",
"Created a chunk of size 1242, which is longer than the specified 1000\n",
"Created a chunk of size 1551, which is longer than the specified 1000\n",
"Created a chunk of size 1268, which is longer than the specified 1000\n",
"Created a chunk of size 1130, which is longer than the specified 1000\n",
"Created a chunk of size 2023, which is longer than the specified 1000\n",
"Created a chunk of size 1878, which is longer than the specified 1000\n",
"Created a chunk of size 1364, which is longer than the specified 1000\n",
"Created a chunk of size 1212, which is longer than the specified 1000\n",
"Created a chunk of size 1792, which is longer than the specified 1000\n",
"Created a chunk of size 1055, which is longer than the specified 1000\n",
"Created a chunk of size 1496, which is longer than the specified 1000\n",
"Created a chunk of size 1045, which is longer than the specified 1000\n",
"Created a chunk of size 1501, which is longer than the specified 1000\n",
"Created a chunk of size 1208, which is longer than the specified 1000\n",
"Created a chunk of size 1356, which is longer than the specified 1000\n",
"Created a chunk of size 1351, which is longer than the specified 1000\n",
"Created a chunk of size 1130, which is longer than the specified 1000\n",
"Created a chunk of size 1133, which is longer than the specified 1000\n",
"Created a chunk of size 1381, which is longer than the specified 1000\n",
"Created a chunk of size 1120, which is longer than the specified 1000\n",
"Created a chunk of size 1200, which is longer than the specified 1000\n",
"Created a chunk of size 1202, which is longer than the specified 1000\n",
"Created a chunk of size 1149, which is longer than the specified 1000\n",
"Created a chunk of size 1196, which is longer than the specified 1000\n",
"Created a chunk of size 3173, which is longer than the specified 1000\n",
"Created a chunk of size 1106, which is longer than the specified 1000\n",
"Created a chunk of size 1211, which is longer than the specified 1000\n",
"Created a chunk of size 1530, which is longer than the specified 1000\n",
"Created a chunk of size 1471, which is longer than the specified 1000\n",
"Created a chunk of size 1353, which is longer than the specified 1000\n",
"Created a chunk of size 1279, which is longer than the specified 1000\n",
"Created a chunk of size 1101, which is longer than the specified 1000\n",
"Created a chunk of size 1123, which is longer than the specified 1000\n",
"Created a chunk of size 1848, which is longer than the specified 1000\n",
"Created a chunk of size 1197, which is longer than the specified 1000\n",
"Created a chunk of size 1235, which is longer than the specified 1000\n",
"Created a chunk of size 1314, which is longer than the specified 1000\n",
"Created a chunk of size 1043, which is longer than the specified 1000\n",
"Created a chunk of size 1183, which is longer than the specified 1000\n",
"Created a chunk of size 1182, which is longer than the specified 1000\n",
"Created a chunk of size 1269, which is longer than the specified 1000\n",
"Created a chunk of size 1416, which is longer than the specified 1000\n",
"Created a chunk of size 1462, which is longer than the specified 1000\n",
"Created a chunk of size 1120, which is longer than the specified 1000\n",
"Created a chunk of size 1033, which is longer than the specified 1000\n",
"Created a chunk of size 1143, which is longer than the specified 1000\n",
"Created a chunk of size 1537, which is longer than the specified 1000\n",
"Created a chunk of size 1381, which is longer than the specified 1000\n",
"Created a chunk of size 2286, which is longer than the specified 1000\n",
"Created a chunk of size 1175, which is longer than the specified 1000\n",
"Created a chunk of size 1187, which is longer than the specified 1000\n",
"Created a chunk of size 1494, which is longer than the specified 1000\n",
"Created a chunk of size 1597, which is longer than the specified 1000\n",
"Created a chunk of size 1203, which is longer than the specified 1000\n",
"Created a chunk of size 1058, which is longer than the specified 1000\n",
"Created a chunk of size 1261, which is longer than the specified 1000\n",
"Created a chunk of size 1189, which is longer than the specified 1000\n",
"Created a chunk of size 1388, which is longer than the specified 1000\n",
"Created a chunk of size 1224, which is longer than the specified 1000\n",
"Created a chunk of size 1226, which is longer than the specified 1000\n",
"Created a chunk of size 1289, which is longer than the specified 1000\n",
"Created a chunk of size 1157, which is longer than the specified 1000\n",
"Created a chunk of size 1095, which is longer than the specified 1000\n",
"Created a chunk of size 2196, which is longer than the specified 1000\n",
"Created a chunk of size 1029, which is longer than the specified 1000\n",
"Created a chunk of size 1077, which is longer than the specified 1000\n",
"Created a chunk of size 1848, which is longer than the specified 1000\n",
"Created a chunk of size 1095, which is longer than the specified 1000\n",
"Created a chunk of size 1418, which is longer than the specified 1000\n",
"Created a chunk of size 1069, which is longer than the specified 1000\n",
"Created a chunk of size 2573, which is longer than the specified 1000\n",
"Created a chunk of size 1512, which is longer than the specified 1000\n",
"Created a chunk of size 1046, which is longer than the specified 1000\n",
"Created a chunk of size 1792, which is longer than the specified 1000\n",
"Created a chunk of size 1042, which is longer than the specified 1000\n",
"Created a chunk of size 1125, which is longer than the specified 1000\n",
"Created a chunk of size 1165, which is longer than the specified 1000\n",
"Created a chunk of size 1030, which is longer than the specified 1000\n",
"Created a chunk of size 1484, which is longer than the specified 1000\n",
"Created a chunk of size 2796, which is longer than the specified 1000\n",
"Created a chunk of size 1026, which is longer than the specified 1000\n",
"Created a chunk of size 1726, which is longer than the specified 1000\n",
"Created a chunk of size 1628, which is longer than the specified 1000\n",
"Created a chunk of size 1881, which is longer than the specified 1000\n",
"Created a chunk of size 1441, which is longer than the specified 1000\n",
"Created a chunk of size 1175, which is longer than the specified 1000\n",
"Created a chunk of size 1360, which is longer than the specified 1000\n",
"Created a chunk of size 1210, which is longer than the specified 1000\n",
"Created a chunk of size 1425, which is longer than the specified 1000\n",
"Created a chunk of size 1560, which is longer than the specified 1000\n",
"Created a chunk of size 1131, which is longer than the specified 1000\n",
"Created a chunk of size 1276, which is longer than the specified 1000\n",
"Created a chunk of size 1068, which is longer than the specified 1000\n",
"Created a chunk of size 1494, which is longer than the specified 1000\n",
"Created a chunk of size 1246, which is longer than the specified 1000\n",
"Created a chunk of size 2621, which is longer than the specified 1000\n",
"Created a chunk of size 1264, which is longer than the specified 1000\n",
"Created a chunk of size 1166, which is longer than the specified 1000\n",
"Created a chunk of size 1332, which is longer than the specified 1000\n",
"Created a chunk of size 3499, which is longer than the specified 1000\n",
"Created a chunk of size 1651, which is longer than the specified 1000\n",
"Created a chunk of size 1794, which is longer than the specified 1000\n",
"Created a chunk of size 2162, which is longer than the specified 1000\n",
"Created a chunk of size 1061, which is longer than the specified 1000\n",
"Created a chunk of size 1083, which is longer than the specified 1000\n",
"Created a chunk of size 1018, which is longer than the specified 1000\n",
"Created a chunk of size 1751, which is longer than the specified 1000\n",
"Created a chunk of size 1301, which is longer than the specified 1000\n",
"Created a chunk of size 1025, which is longer than the specified 1000\n",
"Created a chunk of size 1489, which is longer than the specified 1000\n",
"Created a chunk of size 1481, which is longer than the specified 1000\n",
"Created a chunk of size 1505, which is longer than the specified 1000\n",
"Created a chunk of size 1497, which is longer than the specified 1000\n",
"Created a chunk of size 1505, which is longer than the specified 1000\n",
"Created a chunk of size 1282, which is longer than the specified 1000\n",
"Created a chunk of size 1224, which is longer than the specified 1000\n",
"Created a chunk of size 1261, which is longer than the specified 1000\n",
"Created a chunk of size 1123, which is longer than the specified 1000\n",
"Created a chunk of size 1137, which is longer than the specified 1000\n",
"Created a chunk of size 2183, which is longer than the specified 1000\n",
"Created a chunk of size 1039, which is longer than the specified 1000\n",
"Created a chunk of size 1135, which is longer than the specified 1000\n",
"Created a chunk of size 1254, which is longer than the specified 1000\n",
"Created a chunk of size 1234, which is longer than the specified 1000\n",
"Created a chunk of size 1111, which is longer than the specified 1000\n",
"Created a chunk of size 1135, which is longer than the specified 1000\n",
"Created a chunk of size 2023, which is longer than the specified 1000\n",
"Created a chunk of size 1216, which is longer than the specified 1000\n",
"Created a chunk of size 1013, which is longer than the specified 1000\n",
"Created a chunk of size 1152, which is longer than the specified 1000\n",
"Created a chunk of size 1087, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1330, which is longer than the specified 1000\n",
"Created a chunk of size 2342, which is longer than the specified 1000\n",
"Created a chunk of size 1940, which is longer than the specified 1000\n",
"Created a chunk of size 1621, which is longer than the specified 1000\n",
"Created a chunk of size 2169, which is longer than the specified 1000\n",
"Created a chunk of size 1824, which is longer than the specified 1000\n",
"Created a chunk of size 1554, which is longer than the specified 1000\n",
"Created a chunk of size 1457, which is longer than the specified 1000\n",
"Created a chunk of size 1486, which is longer than the specified 1000\n",
"Created a chunk of size 1556, which is longer than the specified 1000\n",
"Created a chunk of size 1012, which is longer than the specified 1000\n",
"Created a chunk of size 1484, which is longer than the specified 1000\n",
"Created a chunk of size 1039, which is longer than the specified 1000\n",
"Created a chunk of size 1335, which is longer than the specified 1000\n",
"Created a chunk of size 1684, which is longer than the specified 1000\n",
"Created a chunk of size 1537, which is longer than the specified 1000\n",
"Created a chunk of size 1136, which is longer than the specified 1000\n",
"Created a chunk of size 1219, which is longer than the specified 1000\n",
"Created a chunk of size 1011, which is longer than the specified 1000\n",
"Created a chunk of size 1055, which is longer than the specified 1000\n",
"Created a chunk of size 1433, which is longer than the specified 1000\n",
"Created a chunk of size 1263, which is longer than the specified 1000\n",
"Created a chunk of size 1014, which is longer than the specified 1000\n",
"Created a chunk of size 1107, which is longer than the specified 1000\n",
"Created a chunk of size 2702, which is longer than the specified 1000\n",
"Created a chunk of size 1237, which is longer than the specified 1000\n",
"Created a chunk of size 1172, which is longer than the specified 1000\n",
"Created a chunk of size 1517, which is longer than the specified 1000\n",
"Created a chunk of size 1589, which is longer than the specified 1000\n",
"Created a chunk of size 1681, which is longer than the specified 1000\n",
"Created a chunk of size 2244, which is longer than the specified 1000\n",
"Created a chunk of size 1505, which is longer than the specified 1000\n",
"Created a chunk of size 1228, which is longer than the specified 1000\n",
"Created a chunk of size 1801, which is longer than the specified 1000\n",
"Created a chunk of size 1856, which is longer than the specified 1000\n",
"Created a chunk of size 2171, which is longer than the specified 1000\n",
"Created a chunk of size 2450, which is longer than the specified 1000\n",
"Created a chunk of size 1110, which is longer than the specified 1000\n",
"Created a chunk of size 1148, which is longer than the specified 1000\n",
"Created a chunk of size 1050, which is longer than the specified 1000\n",
"Created a chunk of size 1014, which is longer than the specified 1000\n",
"Created a chunk of size 1458, which is longer than the specified 1000\n",
"Created a chunk of size 1270, which is longer than the specified 1000\n",
"Created a chunk of size 1287, which is longer than the specified 1000\n",
"Created a chunk of size 1127, which is longer than the specified 1000\n",
"Created a chunk of size 1576, which is longer than the specified 1000\n",
"Created a chunk of size 1350, which is longer than the specified 1000\n",
"Created a chunk of size 2283, which is longer than the specified 1000\n",
"Created a chunk of size 2211, which is longer than the specified 1000\n",
"Created a chunk of size 1167, which is longer than the specified 1000\n",
"Created a chunk of size 1038, which is longer than the specified 1000\n",
"Created a chunk of size 1117, which is longer than the specified 1000\n",
"Created a chunk of size 1160, which is longer than the specified 1000\n",
"Created a chunk of size 1163, which is longer than the specified 1000\n",
"Created a chunk of size 1013, which is longer than the specified 1000\n",
"Created a chunk of size 1226, which is longer than the specified 1000\n",
"Created a chunk of size 1336, which is longer than the specified 1000\n",
"Created a chunk of size 1012, which is longer than the specified 1000\n",
"Created a chunk of size 2833, which is longer than the specified 1000\n",
"Created a chunk of size 1201, which is longer than the specified 1000\n",
"Created a chunk of size 1172, which is longer than the specified 1000\n",
"Created a chunk of size 1438, which is longer than the specified 1000\n",
"Created a chunk of size 1259, which is longer than the specified 1000\n",
"Created a chunk of size 1452, which is longer than the specified 1000\n",
"Created a chunk of size 1377, which is longer than the specified 1000\n",
"Created a chunk of size 1001, which is longer than the specified 1000\n",
"Created a chunk of size 1240, which is longer than the specified 1000\n",
"Created a chunk of size 1142, which is longer than the specified 1000\n",
"Created a chunk of size 1338, which is longer than the specified 1000\n",
"Created a chunk of size 1057, which is longer than the specified 1000\n",
"Created a chunk of size 1040, which is longer than the specified 1000\n",
"Created a chunk of size 1579, which is longer than the specified 1000\n",
"Created a chunk of size 1176, which is longer than the specified 1000\n",
"Created a chunk of size 1081, which is longer than the specified 1000\n",
"Created a chunk of size 1751, which is longer than the specified 1000\n",
"Created a chunk of size 1064, which is longer than the specified 1000\n",
"Created a chunk of size 1029, which is longer than the specified 1000\n",
"Created a chunk of size 1937, which is longer than the specified 1000\n",
"Created a chunk of size 1972, which is longer than the specified 1000\n",
"Created a chunk of size 1417, which is longer than the specified 1000\n",
"Created a chunk of size 1203, which is longer than the specified 1000\n",
"Created a chunk of size 1314, which is longer than the specified 1000\n",
"Created a chunk of size 1088, which is longer than the specified 1000\n",
"Created a chunk of size 1455, which is longer than the specified 1000\n",
"Created a chunk of size 1467, which is longer than the specified 1000\n",
"Created a chunk of size 1476, which is longer than the specified 1000\n",
"Created a chunk of size 1354, which is longer than the specified 1000\n",
"Created a chunk of size 1403, which is longer than the specified 1000\n",
"Created a chunk of size 1366, which is longer than the specified 1000\n",
"Created a chunk of size 1112, which is longer than the specified 1000\n",
"Created a chunk of size 1512, which is longer than the specified 1000\n",
"Created a chunk of size 1262, which is longer than the specified 1000\n",
"Created a chunk of size 1405, which is longer than the specified 1000\n",
"Created a chunk of size 2221, which is longer than the specified 1000\n",
"Created a chunk of size 1128, which is longer than the specified 1000\n",
"Created a chunk of size 1021, which is longer than the specified 1000\n",
"Created a chunk of size 1532, which is longer than the specified 1000\n",
"Created a chunk of size 1535, which is longer than the specified 1000\n",
"Created a chunk of size 1230, which is longer than the specified 1000\n",
"Created a chunk of size 2456, which is longer than the specified 1000\n",
"Created a chunk of size 1047, which is longer than the specified 1000\n",
"Created a chunk of size 1320, which is longer than the specified 1000\n",
"Created a chunk of size 1144, which is longer than the specified 1000\n",
"Created a chunk of size 1509, which is longer than the specified 1000\n",
"Created a chunk of size 1003, which is longer than the specified 1000\n",
"Created a chunk of size 1025, which is longer than the specified 1000\n",
"Created a chunk of size 1197, which is longer than the specified 1000\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"8244\n"
]
}
],
"source": [
"from langchain_text_splitters import CharacterTextSplitter\n",
"\n",
"text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
"texts = text_splitter.split_documents(docs)\n",
"print(f\"{len(texts)}\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Then embed chunks and upload them to the DeepLake.\n",
"\n",
"This can take several minutes. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"OpenAIEmbeddings(client=<class 'openai.api_resources.embedding.Embedding'>, model='text-embedding-ada-002', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base='', openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='', openai_organization='', allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=6, request_timeout=None, headers=None, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={})"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"embeddings = OpenAIEmbeddings()\n",
"embeddings"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Your Deep Lake dataset has been successfully created!\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" \r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset(path='hub://adilkhan/langchain-code', tensors=['embedding', 'id', 'metadata', 'text'])\n",
"\n",
" tensor htype shape dtype compression\n",
" ------- ------- ------- ------- ------- \n",
" embedding embedding (8244, 1536) float32 None \n",
" id text (8244, 1) str None \n",
" metadata json (8244, 1) str None \n",
" text text (8244, 1) str None \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": []
},
{
"data": {
"text/plain": [
"<langchain_community.vectorstores.deeplake.DeepLake at 0x7fe1b67d7a30>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain_community.vectorstores import DeepLake\n",
"\n",
"username = \"<USERNAME_OR_ORG>\"\n",
"\n",
"\n",
"db = DeepLake.from_documents(\n",
" texts, embeddings, dataset_path=f\"hub://{username}/langchain-code\", overwrite=True\n",
")\n",
"db"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"`Optional`: You can also use Deep Lake's Managed Tensor Database as a hosting service and run queries there. In order to do so, it is necessary to specify the runtime parameter as {'tensor_db': True} during the creation of the vector store. This configuration enables the execution of queries on the Managed Tensor Database, rather than on the client side. It should be noted that this functionality is not applicable to datasets stored locally or in-memory. In the event that a vector store has already been created outside of the Managed Tensor Database, it is possible to transfer it to the Managed Tensor Database by following the prescribed steps."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# from langchain_community.vectorstores import DeepLake\n",
"\n",
"# db = DeepLake.from_documents(\n",
"# texts, embeddings, dataset_path=f\"hub://{<org_id>}/langchain-code\", runtime={\"tensor_db\": True}\n",
"# )\n",
"# db"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question Answering\n",
"First load the dataset, construct the retriever, then construct the Conversational Chain"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Deep Lake Dataset in hub://adilkhan/langchain-code already exists, loading from the storage\n"
]
}
],
"source": [
"db = DeepLake(\n",
" dataset_path=f\"hub://{username}/langchain-code\",\n",
" read_only=True,\n",
" embedding=embeddings,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"retriever = db.as_retriever()\n",
"retriever.search_kwargs[\"distance_metric\"] = \"cos\"\n",
"retriever.search_kwargs[\"fetch_k\"] = 20\n",
"retriever.search_kwargs[\"maximal_marginal_relevance\"] = True\n",
"retriever.search_kwargs[\"k\"] = 20"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"You can also specify user defined functions using [Deep Lake filters](https://docs.deeplake.ai/en/latest/deeplake.core.dataset.html#deeplake.core.dataset.Dataset.filter)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def filter(x):\n",
" # filter based on source code\n",
" if \"something\" in x[\"text\"].data()[\"value\"]:\n",
" return False\n",
"\n",
" # filter based on path e.g. extension\n",
" metadata = x[\"metadata\"].data()[\"value\"]\n",
" return \"only_this\" in metadata[\"source\"] or \"also_that\" in metadata[\"source\"]\n",
"\n",
"\n",
"### turn on below for custom filtering\n",
"# retriever.search_kwargs['filter'] = filter"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.chains import ConversationalRetrievalChain\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"model = ChatOpenAI(\n",
" model_name=\"gpt-3.5-turbo-0613\"\n",
") # 'ada' 'gpt-3.5-turbo-0613' 'gpt-4',\n",
"qa = ConversationalRetrievalChain.from_llm(model, retriever=retriever)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-> **Question**: What is the class hierarchy? \n",
"\n",
"**Answer**: The class hierarchy for Memory is as follows:\n",
"\n",
" BaseMemory --> BaseChatMemory --> <name>Memory # Examples: ZepMemory, MotorheadMemory\n",
"\n",
"The class hierarchy for ChatMessageHistory is as follows:\n",
"\n",
" BaseChatMessageHistory --> <name>ChatMessageHistory # Example: ZepChatMessageHistory\n",
"\n",
"The class hierarchy for Prompt is as follows:\n",
"\n",
" BasePromptTemplate --> PipelinePromptTemplate\n",
" StringPromptTemplate --> PromptTemplate\n",
" FewShotPromptTemplate\n",
" FewShotPromptWithTemplates\n",
" BaseChatPromptTemplate --> AutoGPTPrompt\n",
" ChatPromptTemplate --> AgentScratchPadChatPromptTemplate\n",
" \n",
"\n",
"-> **Question**: What classes are derived from the Chain class? \n",
"\n",
"**Answer**: The classes derived from the Chain class are:\n",
"\n",
"- APIChain\n",
"- OpenAPIEndpointChain\n",
"- AnalyzeDocumentChain\n",
"- MapReduceDocumentsChain\n",
"- MapRerankDocumentsChain\n",
"- ReduceDocumentsChain\n",
"- RefineDocumentsChain\n",
"- StuffDocumentsChain\n",
"- ConstitutionalChain\n",
"- ConversationChain\n",
"- ChatVectorDBChain\n",
"- ConversationalRetrievalChain\n",
"- FalkorDBQAChain\n",
"- FlareChain\n",
"- ArangoGraphQAChain\n",
"- GraphQAChain\n",
"- GraphCypherQAChain\n",
"- HugeGraphQAChain\n",
"- KuzuQAChain\n",
"- NebulaGraphQAChain\n",
"- NeptuneOpenCypherQAChain\n",
"- GraphSparqlQAChain\n",
"- HypotheticalDocumentEmbedder\n",
"- LLMChain\n",
"- LLMBashChain\n",
"- LLMCheckerChain\n",
"- LLMMathChain\n",
"- LLMRequestsChain\n",
"- LLMSummarizationCheckerChain\n",
"- MapReduceChain\n",
"- OpenAIModerationChain\n",
"- NatBotChain\n",
"- QAGenerationChain\n",
"- QAWithSourcesChain\n",
"- RetrievalQAWithSourcesChain\n",
"- VectorDBQAWithSourcesChain\n",
"- RetrievalQA\n",
"- VectorDBQA\n",
"- LLMRouterChain\n",
"- MultiPromptChain\n",
"- MultiRetrievalQAChain\n",
"- MultiRouteChain\n",
"- RouterChain\n",
"- SequentialChain\n",
"- SimpleSequentialChain\n",
"- TransformChain\n",
"- TaskPlaningChain\n",
"- QueryChain\n",
"- CPALChain\n",
" \n",
"\n",
"-> **Question**: What kind of retrievers does LangChain have? \n",
"\n",
"**Answer**: The LangChain class includes various types of retrievers such as:\n",
"\n",
"- ArxivRetriever\n",
"- AzureAISearchRetriever\n",
"- BM25Retriever\n",
"- ChaindeskRetriever\n",
"- ChatGPTPluginRetriever\n",
"- ContextualCompressionRetriever\n",
"- DocArrayRetriever\n",
"- ElasticSearchBM25Retriever\n",
"- EnsembleRetriever\n",
"- GoogleVertexAISearchRetriever\n",
"- AmazonKendraRetriever\n",
"- KNNRetriever\n",
"- LlamaIndexGraphRetriever and LlamaIndexRetriever\n",
"- MergerRetriever\n",
"- MetalRetriever\n",
"- MilvusRetriever\n",
"- MultiQueryRetriever\n",
"- ParentDocumentRetriever\n",
"- PineconeHybridSearchRetriever\n",
"- PubMedRetriever\n",
"- RePhraseQueryRetriever\n",
"- RemoteLangChainRetriever\n",
"- SelfQueryRetriever\n",
"- SVMRetriever\n",
"- TFIDFRetriever\n",
"- TimeWeightedVectorStoreRetriever\n",
"- VespaRetriever\n",
"- WeaviateHybridSearchRetriever\n",
"- WebResearchRetriever\n",
"- WikipediaRetriever\n",
"- ZepRetriever\n",
"- ZillizRetriever \n",
"\n"
]
}
],
"source": [
"questions = [\n",
" \"What is the class hierarchy?\",\n",
" \"What classes are derived from the Chain class?\",\n",
" \"What kind of retrievers does LangChain have?\",\n",
"]\n",
"chat_history = []\n",
"qa_dict = {}\n",
"\n",
"for question in questions:\n",
" result = qa({\"question\": question, \"chat_history\": chat_history})\n",
" chat_history.append((question, result[\"answer\"]))\n",
" qa_dict[question] = result[\"answer\"]\n",
" print(f\"-> **Question**: {question} \\n\")\n",
" print(f\"**Answer**: {result['answer']} \\n\")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'question': 'LangChain possesses a variety of retrievers including:\\n\\n1. ArxivRetriever\\n2. AzureAISearchRetriever\\n3. BM25Retriever\\n4. ChaindeskRetriever\\n5. ChatGPTPluginRetriever\\n6. ContextualCompressionRetriever\\n7. DocArrayRetriever\\n8. ElasticSearchBM25Retriever\\n9. EnsembleRetriever\\n10. GoogleVertexAISearchRetriever\\n11. AmazonKendraRetriever\\n12. KNNRetriever\\n13. LlamaIndexGraphRetriever\\n14. LlamaIndexRetriever\\n15. MergerRetriever\\n16. MetalRetriever\\n17. MilvusRetriever\\n18. MultiQueryRetriever\\n19. ParentDocumentRetriever\\n20. PineconeHybridSearchRetriever\\n21. PubMedRetriever\\n22. RePhraseQueryRetriever\\n23. RemoteLangChainRetriever\\n24. SelfQueryRetriever\\n25. SVMRetriever\\n26. TFIDFRetriever\\n27. TimeWeightedVectorStoreRetriever\\n28. VespaRetriever\\n29. WeaviateHybridSearchRetriever\\n30. WebResearchRetriever\\n31. WikipediaRetriever\\n32. ZepRetriever\\n33. ZillizRetriever\\n\\nIt also includes self query translators like:\\n\\n1. ChromaTranslator\\n2. DeepLakeTranslator\\n3. MyScaleTranslator\\n4. PineconeTranslator\\n5. QdrantTranslator\\n6. WeaviateTranslator\\n\\nAnd remote retrievers like:\\n\\n1. RemoteLangChainRetriever'}"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"qa_dict"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The class hierarchy for Memory is as follows:\n",
"\n",
" BaseMemory --> BaseChatMemory --> <name>Memory # Examples: ZepMemory, MotorheadMemory\n",
"\n",
"The class hierarchy for ChatMessageHistory is as follows:\n",
"\n",
" BaseChatMessageHistory --> <name>ChatMessageHistory # Example: ZepChatMessageHistory\n",
"\n",
"The class hierarchy for Prompt is as follows:\n",
"\n",
" BasePromptTemplate --> PipelinePromptTemplate\n",
" StringPromptTemplate --> PromptTemplate\n",
" FewShotPromptTemplate\n",
" FewShotPromptWithTemplates\n",
" BaseChatPromptTemplate --> AutoGPTPrompt\n",
" ChatPromptTemplate --> AgentScratchPadChatPromptTemplate\n",
"\n"
]
}
],
"source": [
"print(qa_dict[\"What is the class hierarchy?\"])"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The classes derived from the Chain class are:\n",
"\n",
"- APIChain\n",
"- OpenAPIEndpointChain\n",
"- AnalyzeDocumentChain\n",
"- MapReduceDocumentsChain\n",
"- MapRerankDocumentsChain\n",
"- ReduceDocumentsChain\n",
"- RefineDocumentsChain\n",
"- StuffDocumentsChain\n",
"- ConstitutionalChain\n",
"- ConversationChain\n",
"- ChatVectorDBChain\n",
"- ConversationalRetrievalChain\n",
"- FlareChain\n",
"- ArangoGraphQAChain\n",
"- GraphQAChain\n",
"- GraphCypherQAChain\n",
"- HugeGraphQAChain\n",
"- KuzuQAChain\n",
"- NebulaGraphQAChain\n",
"- NeptuneOpenCypherQAChain\n",
"- GraphSparqlQAChain\n",
"- HypotheticalDocumentEmbedder\n",
"- LLMChain\n",
"- LLMBashChain\n",
"- LLMCheckerChain\n",
"- LLMMathChain\n",
"- LLMRequestsChain\n",
"- LLMSummarizationCheckerChain\n",
"- MapReduceChain\n",
"- OpenAIModerationChain\n",
"- NatBotChain\n",
"- QAGenerationChain\n",
"- QAWithSourcesChain\n",
"- RetrievalQAWithSourcesChain\n",
"- VectorDBQAWithSourcesChain\n",
"- RetrievalQA\n",
"- VectorDBQA\n",
"- LLMRouterChain\n",
"- MultiPromptChain\n",
"- MultiRetrievalQAChain\n",
"- MultiRouteChain\n",
"- RouterChain\n",
"- SequentialChain\n",
"- SimpleSequentialChain\n",
"- TransformChain\n",
"- TaskPlaningChain\n",
"- QueryChain\n",
"- CPALChain\n",
"\n"
]
}
],
"source": [
"print(qa_dict[\"What classes are derived from the Chain class?\"])"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The LangChain class includes various types of retrievers such as:\n",
"\n",
"- ArxivRetriever\n",
"- AzureAISearchRetriever\n",
"- BM25Retriever\n",
"- ChaindeskRetriever\n",
"- ChatGPTPluginRetriever\n",
"- ContextualCompressionRetriever\n",
"- DocArrayRetriever\n",
"- ElasticSearchBM25Retriever\n",
"- EnsembleRetriever\n",
"- GoogleVertexAISearchRetriever\n",
"- AmazonKendraRetriever\n",
"- KNNRetriever\n",
"- LlamaIndexGraphRetriever and LlamaIndexRetriever\n",
"- MergerRetriever\n",
"- MetalRetriever\n",
"- MilvusRetriever\n",
"- MultiQueryRetriever\n",
"- ParentDocumentRetriever\n",
"- PineconeHybridSearchRetriever\n",
"- PubMedRetriever\n",
"- RePhraseQueryRetriever\n",
"- RemoteLangChainRetriever\n",
"- SelfQueryRetriever\n",
"- SVMRetriever\n",
"- TFIDFRetriever\n",
"- TimeWeightedVectorStoreRetriever\n",
"- VespaRetriever\n",
"- WeaviateHybridSearchRetriever\n",
"- WebResearchRetriever\n",
"- WikipediaRetriever\n",
"- ZepRetriever\n",
"- ZillizRetriever\n"
]
}
],
"source": [
"print(qa_dict[\"What kind of retrievers does LangChain have?\"])"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|