id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 49 117 |
|---|---|---|
a71c4b517434-29 | find comparisons.16hKevin PeltonWOMEN'S ELITE EIGHT SCOREBOARDMONDAY'S GAMESCheck your bracket!NBA DRAFTHow top prospects fared on the road to the Final FourThe 2023 NCAA tournament is down to four teams, and ESPN's Jonathan Givony recaps the players who saw their NBA draft stock change.11hJonathan GivonyAndy Lyons/Get... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-30 | Texas hiring Terry as full-time coachJets GM: No rush on Rodgers; Lamar not optionLove to leave North Carolina, enter transfer portalBelichick to angsty Pats fans: See last 25 yearsEmbiid out, Harden due back vs. Jokic, NuggetsLynch: Purdy 'earned the right' to start for NinersMan Utd, Wrexham plan July friendly in San... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-31 | can follow throughout the Big Dance. Women's Tournament ChallengeIllustration by ESPNWomen's Tournament ChallengeCheck your bracket(s) in the 2023 Women's Tournament Challenge, which you can follow throughout the Big Dance. Best of ESPN+AP Photo/Lynne SladkyFantasy Baseball ESPN+ Cheat Sheet: Sleepers, busts, rookies a... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-32 | predictionsMel Kiper Jr. makes his predictions for Round 1 of the NFL draft, including projecting a trade in the top five. Trending NowAnne-Marie Sorvin-USA TODAY SBoston Bruins record tracker: Wins, points, milestonesThe B's are on pace for NHL records in wins and points, along with some individual superlatives as wel... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-33 | on ESPN, ESPN+Here's everything you need to know about how to watch the PGA Tour, Masters, PGA Championship and FedEx Cup playoffs on ESPN and ESPN+.Hailie Lynch/XFLHow to watch the XFL: 2023 schedule, teams, players, news, moreEvery XFL game will be streamed on ESPN+. Find out when and where else you can watch the eig... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-34 | Baseball\n\n\n\n\n\n\n\nNCAA Softball\n\n\n\n\n\n\n\nCricket: Select Matches\n\n\n\n\n\n\n\nMel Kiper's NFL Mock Draft 3.0\n\n\nQuick Links\n\n\n\n\nMen's Tournament Challenge\n\n\n\n\n\n\n\nWomen's Tournament Challenge\n\n\n\n\n\n\n\nNFL Draft Order\n\n\n\n\n\n\n\nHow To Watch NHL Games\n\n\n\n\n\n\n\nFantasy Baseball... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-35 | ESPNCopyright: ยฉ ESPN Enterprises, Inc. All rights reserved.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", lookup_str='', metadata={'source': 'https://www.espn.com/'}, lookup_index=0), | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-36 | Document(page_content='GoogleSearch Images Maps Play YouTube News Gmail Drive More ยปWeb History | Settings | Sign in\xa0Advanced searchAdvertisingBusiness SolutionsAbout Googleยฉ 2023 - Privacy - Terms ', lookup_str='', metadata={'source': 'https://google.com'}, lookup_index=0)]
Loading a xml file, or using a differen... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-37 | [Document(page_content='\n\n10\nEnergy\n3\n2018-01-01\n2018-01-01\nfalse\nUniform test method for the measurement of energy efficiency of commercial packaged boilers.\nรยง 431.86\nSection รยง 431.86\n\nEnergy\nDEPARTMENT OF ENERGY\nENERGY CONSERVATION\nENERGY EFFICIENCY PROGRAM FOR CERTAIN COMMERCIAL AND INDUSTRIAL EQUIP... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-38 | rated inputBtu/h\n\nStandards efficiency metric(ยง\u2009431.87)\n\nTest procedure(corresponding to\nstandards efficiency\nmetric required\nby ยง\u2009431.87)\n\n\n\nHot Water\nGas-fired\nโฅ300,000 and โค2,500,000\nThermal Efficiency\nAppendix A, Section 2.\n\n\nHot Water\nGas-fired\n>2,500,000\nCombustion Efficiency\nAppen... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-39 | Efficiency\nAppendix A, Section 2.\n\n\nSteam\nOil-fired\n>2,500,000 and โค5,000,000\nThermal Efficiency\nAppendix A, Section 2.\n\n\n\u2003\n\n>5,000,000\nThermal Efficiency\nAppendix A, Section 2.OR\nAppendix A, Section 3. with Section 2.4.3.2.\n\n\n\n*\u2009Equipment classes for commercial packaged boilers as of July... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
a71c4b517434-40 | previous
URL
next
Weather
Contents
Loading multiple webpages
Load multiple urls concurrently
Loading a xml file, or using a different BeautifulSoup parser
By Harrison Chase
ยฉ Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
c2012637a7b9-0 | .ipynb
.pdf
Wikipedia
Contents
Installation
Examples
Wikipedia#
Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. Wikipedia is the largest and most-read refe... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/wikipedia.html |
b9ebaf20efea-0 | .ipynb
.pdf
Iugu
Iugu#
Iugu is a Brazilian services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.
This notebook covers how to load data from the Iugu REST API into a format that can be ingested into... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/iugu.html |
2be51feb93ea-0 | .ipynb
.pdf
Copy Paste
Contents
Metadata
Copy Paste#
This notebook covers how to load a document object from something you just want to copy and paste. In this case, you donโt even need to use a DocumentLoader, but rather can just construct the Document directly.
from langchain.docstore.document import Document
text ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/copypaste.html |
c7b8a27546a3-0 | .ipynb
.pdf
Weather
Weather#
OpenWeatherMap is an open source weather service provider
This loader fetches the weather data from the OpenWeatherMapโs OneCall API, using the pyowm Python package. You must initialize the loader with your OpenWeatherMap API token and the names of the cities you want the weather data for.
... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/weather.html |
16217fb4233e-0 | .ipynb
.pdf
URL
Contents
URL
Selenium URL Loader
Setup
Playwright URL Loader
Setup
URL#
This covers how to load HTML documents from a list of URLs into a document format that we can use downstream.
from langchain.document_loaders import UnstructuredURLLoader
urls = [
"https://www.understandingwar.org/backgrounde... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/url.html |
16217fb4233e-1 | !pip install "playwright"
!pip install "unstructured"
!playwright install
from langchain.document_loaders import PlaywrightURLLoader
urls = [
"https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"https://goo.gl/maps/NDSHwePEyaHMFGwh8"
]
loader = PlaywrightURLLoader(urls=urls, remove_selectors=["header", "footer"])
da... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/url.html |
42f8e7bed564-0 | .ipynb
.pdf
IMSDb
IMSDb#
IMSDb is the Internet Movie Script Database.
This covers how to load IMSDb webpages into a document format that we can use downstream.
from langchain.document_loaders import IMSDbLoader
loader = IMSDbLoader("https://imsdb.com/scripts/BlacKkKlansman.html")
data = loader.load()
data[0].page_conte... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/imsdb.html |
62fb28068e37-0 | .ipynb
.pdf
File Directory
Contents
Show a progress bar
Use multithreading
Change loader class
Auto detect file encodings with TextLoader
A. Default Behavior
B. Silent fail
C. Auto detect encodings
File Directory#
This covers how to use the DirectoryLoader to load all documents in a directory. Under the hood, by defa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
62fb28068e37-1 | docs = loader.load()
len(docs)
1
If you need to load Python source code files, use the PythonLoader.
from langchain.document_loaders import PythonLoader
loader = DirectoryLoader('../../../../../', glob="**/*.py", loader_cls=PythonLoader)
docs = loader.load()
len(docs)
691
Auto detect file encodings with TextLoader#
In ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
62fb28068e37-2 | โ โ
โ 319 โ def decode(self, input, final=False): โ
โ 320 โ โ # decode input (taking the buffer into account) โ
โ 321 โ โ ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
62fb28068e37-3 | โ 85 โ โ โ โ โ finally: โ
โ 86 โ โ โ โ โ โ if pbar: โ
โ 87 โ โ โ โ โ โ โ pbar.update(1) โ
โ ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
62fb28068e37-4 | โ 45 โ โ โ except Exception as e: โ
โ 46 โ โ โ โ raise RuntimeError(f"Error loading {self.file_path}") from e โ
โ 47 โ
โฐโโโโโโโโโโโโโโโโ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
62fb28068e37-5 | '../../../../../tests/integration_tests/examples/whatsapp_chat.txt',
'../../../../../tests/integration_tests/examples/example-utf8.txt']
previous
Facebook Chat
next
HTML
Contents
Show a progress bar
Use multithreading
Change loader class
Auto detect file encodings with TextLoader
A. Default Behavior
B. Silent fail... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/file_directory.html |
d4cd68d71a8e-0 | .ipynb
.pdf
Google Drive
Contents
Prerequisites
๐ง Instructions for ingesting your Google Docs data
Google Drive#
Google Drive is a file storage and synchronization service developed by Google.
This notebook covers how to load documents from Google Drive. Currently, only Google Docs are supported.
Prerequisites#
Crea... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_drive.html |
d4cd68d71a8e-1 | from langchain.document_loaders import GoogleDriveLoader
loader = GoogleDriveLoader(
folder_id="1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5",
# Optional: configure whether to recursively fetch files from subfolders. Defaults to False.
recursive=False
)
docs = loader.load()
When you pass a folder_id by default all fil... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_drive.html |
a11635243b34-0 | .ipynb
.pdf
PDF
Contents
Using PyPDF
Using MathPix
Using Unstructured
Retain Elements
Fetching remote PDFs using Unstructured
Using PyPDFium2
Using PDFMiner
Using PDFMiner to generate HTML text
Using PyMuPDF
PyPDF Directory
Using pdfplumber
PDF#
Portable Document Format (PDF), standardized as ISO 32000, is a file for... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-1 | Document(page_content='LayoutParser : A Uni\x0ced Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1( \x00), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1Allen Institute for AI\nshannons@allenai.org\n2Brown University\nruochen zhang@brown.edu\n3Ha... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-2 | processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser , an open-source\nl... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-3 | Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classi\x0ccation [ 11,arXiv:2103.15348v2 [cs.CV] 21 Jun 2021', metadata={'source': 'example_data/layout-parser-paper.pdf', 'page': 0}) | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-4 | An advantage of this approach is that documents can be retrieved with page numbers.
We want to use OpenAIEmbeddings so we have to get the OpenAI API Key.
import os
import getpass
os.environ['OPENAI_API_KEY'] = getpass.getpass('OpenAI API Key:')
OpenAI API Key: ยทยทยทยทยทยทยทยท
from langchain.vectorstores import FAISS
from lang... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-5 | loader = MathpixPDFLoader("example_data/layout-parser-paper.pdf")
data = loader.load()
Using Unstructured#
from langchain.document_loaders import UnstructuredPDFLoader
loader = UnstructuredPDFLoader("example_data/layout-parser-paper.pdf")
data = loader.load()
Retain Elements#
Under the hood, Unstructured creates differ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-6 | Document(page_content='LayoutParser: A Uni๏ฌed Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 (๏ฟฝ), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\nshannons@allenai.org\n2 Brown University\nruochen zhang@brown.edu\n3 Harvar... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-7 | processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser, an open-source\nli... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-8 | Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classi๏ฌcation [11,\narXiv:2103.15348v2 [cs.CV] 21 Jun 2021\n', lookup_str='', metadata={'file_path': 'example_data/layout-parser-paper.pdf', 'page_number': 1, 'total_pages': 16, 'fo... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-9 | Fetching remote PDFs using Unstructured#
This covers how to load online pdfs into a document format that we can use downstream. This can be used for various online pdf sites such as https://open.umn.edu/opentextbooks/textbooks/ and https://arxiv.org/archive/
Note: all other pdf loaders can also be used to fetch remote ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-10 | [Document(page_content='A WEAK ( k, k ) -LEFSCHETZ THEOREM FOR PROJECTIVE TORIC ORBIFOLDS\n\nWilliam D. Montoya\n\nInstituto de Matemยดatica, Estatยดฤฑstica e Computaยธcหao Cientยดฤฑ๏ฌca,\n\nIn [3] we proved that, under suitable conditions, on a very general codimension s quasi- smooth intersection subvariety X in a projectiv... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-11 | theorem for projective orbifolds ([11]). When p = d + 1 โ s the proof relies on the Cayley trick, a trick which associates to X a quasi-smooth hypersurface Y in a projective vector bundle, and the Cayley Proposition (4.3) which gives an isomorphism of some primitive cohomologies (4.2) of X and Y . The Cayley trick, fol... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-12 | N โ Z R .\n\nif there exist k linearly independent primitive elements e\n\n, . . . , e k โ N such that ฯ = { ยต\n\ne\n\n+ โฏ + ยต k e k } . โข The generators e i are integral if for every i and any nonnegative rational number ยต the product ยตe i is in N only if ยต is an integer. โข Given two rational simplicial cones ฯ , ฯ โฒ ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-13 | < ฯ and ฯ โฉ ฯ โฒ < ฯ โฒ ;\n\nN R = ฯ\n\nโช โ
โ
โ
โช ฯ t .\n\nA rational simplicial complete d -dimensional fan ฮฃ de๏ฌnes a d -dimensional toric variety P d ฮฃ having only orbifold singularities which we assume to be projective. Moreover, T โถ = N โ Z C โ โ ( C โ ) d is the torus action on P d ฮฃ . We denote by ฮฃ ( i ) the i -d... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-14 | locus Z ( ฮฃ ) โถ = V ( B ฮฃ ) in the a๏ฌne space A d โถ = Spec ( S ) is the irrelevant locus.\n\nProposition 2.3 (Theorem 5.1.11 [5]) . The toric variety P d ฮฃ is a categorical quotient A d โ Z ( ฮฃ ) by the group Hom ( Cl ( ฮฃ ) , C โ ) and the group action is induced by the Cl ( ฮฃ ) - grading of S .\n\nNow we give a brief ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-15 | A di๏ฌerential form on a complex orbifold Z is de๏ฌned locally at z โ Z as a G -invariant di๏ฌerential form on C d where G โ Gl ( d, C ) and Z is locally isomorphic to d\n\nRoughly speaking the local geometry of orbifolds reduces to local G -invariant geometry.\n\nWe have a complex of di๏ฌerential forms ( A โ ( Z ) , d ) a... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-16 | . Quasi-smooth hypersurfaces or more generally quasi-smooth intersection sub-\n\nExample 3.2 . Quasi-smooth hypersurfaces or more generally quasi-smooth intersection sub- varieties are quasi-smooth subvarieties (see [2] or [7] for more details).\n\nRemark 3.3 . Quasi-smooth subvarieties are suborbifolds of P d ฮฃ in the... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-17 | / H 2 ( X, O X ) โ Dolbeault H 2 ( X, C ) deRham โ H 2 dR ( X, C ) / / H 0 , 2 ยฏ โ ( X )\n\nof the proof follows as the ( 1 , 1 ) -Lefschetz theorem in [6].\n\nRemark 3.5 . For k = 1 and P d ฮฃ as the projective space, we recover the classical ( 1 , 1 ) - Lefschetz theorem.\n\nBy the Hard Lefschetz Theorem for projectiv... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-18 | If the dimension of X is 1 , 2 or 3 . The Hodge conjecture holds on X\n\nProof. If the dim C X = 1 the result is clear by the Hard Lefschetz theorem for projective orbifolds. The dimension 2 and 3 cases are covered by Theorem 3.5 and the Hard Lefschetz.\n\nCayley trick and Cayley proposition\n\nThe Cayley trick is a wa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-19 | Cox ring, without considering the grading, of P d ฮฃ is C [ x 1 , . . . , x m ] then the Cox ring of P ( E ) is\n\nMoreover for X a quasi-smooth intersection subvariety cut o๏ฌ by f 1 , . . . , f s with deg ( f i ) = [ L i ] we relate the hypersurface Y cut o๏ฌ by F = y 1 f 1 + โ
โ
โ
+ y s f s which turns out to be quasi-... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-20 | y ) โ Y with y โ 0 has a preimage. Hence for any subvariety W = V ( I W ) โ X โ P d ฮฃ there exists W โฒ โ Y โ P d + s โ 1 ฮฃ ,X such that ฯ ( W โฒ ) = W , i.e., W โฒ = { z = ( x, y ) โฃ x โ W } .\n\nFor X โ P d ฮฃ a quasi-smooth intersection variety the morphism in cohomology induced by the inclusion i โ โถ H d โ s ( P d ฮฃ , ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-21 | โ s prim ( X, Q ) with rational coe๏ฌcients.\n\nH d โ s ( P d ฮฃ , C ) and H d โ s ( X, C ) have pure Hodge structures, and the morphism i โ is com- patible with them, so that H d โ s prim ( X ) gets a pure Hodge structure.\n\nThe next Proposition is the Cayley proposition.\n\nProposition 4.3. [Proposition 2.3 in [3] ] L... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-22 | C . See the beginning of Section 7.1 in [10] for more details.\n\nTheorem 5.1. Let Y = { F = y 1 f 1 + โฏ + y k f k = 0 } โ P 2 k + 1 ฮฃ ,X be the quasi-smooth hypersurface associated to the quasi-smooth intersection surface X = X f 1 โฉ โ
โ
โ
โฉ X f k โ P k + 2 ฮฃ . Then on Y the Hodge conjecture holds.\n\nthe Hodge conjec... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-23 | 1 , . . . , ฮป C n with rational coe๏ฌcients of H 1 , 1 prim ( X, Q ) , that is, there are n โถ = h 1 , 1 prim ( X, Q ) algebraic curves C 1 , . . . , C n in X such that under the Poincarยดe duality the class in homology [ C i ] goes to ฮป C i , [ C i ] โฆ ฮป C i . Recall that the Cox ring of P k + 2 is contained in the Cox r... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-24 | degree. Moreover, by Remark 4.1 each C i is contained in Y = { F = y 1 f 1 + โฏ + y k f k = 0 } and\n\nfurthermore it has codimension k .\n\nClaim: { C i } ni = 1 is a basis of prim ( ) . It is enough to prove that ฮป C i is di๏ฌerent from zero in H k,k prim ( Y, Q ) or equivalently that the cohomology classes { ฮป C i } n... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-25 | ,X such that V โฉ Y = C j so they are equal as a homology class of P 2 k + 1 ฮฃ ,X ,i.e., [ V โฉ Y ] = [ C j ] . It is easy to check that ฯ ( V ) โฉ X = C j as a subvariety of P k + 2 ฮฃ where ฯ โถ ( x, y ) โฆ x . Hence [ ฯ ( V ) โฉ X ] = [ C j ] which is equivalent to say that ฮป C j comes from P k + 2 ฮฃ which contradicts the ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-26 | 0 } โ P 2 k + 1 ฮฃ ,X be the quasi-smooth hypersurface associated to a quasi-smooth intersection subvariety X = X f 1 โฉ โ
โ
โ
โฉ X f s โ P d ฮฃ such that d + s = 2 ( k + 1 ) . If the Hodge conjecture holds on X then it holds as well on Y .\n\nCorollary 5.4. If the dimension of Y is 2 s โ 1 , 2 s or 2 s + 1 then the Hodge ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-27 | U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. Sหao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (\n\n). [\n\n] Caramello Jr, F. C. Introduction to orbifolds. a\n\niv:\n\nv\n\n(\n\n). [\n\n] Cox, D., Little, J., and Schenck, H. Toric ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-28 | Steenbrink, J. H. M. Intersection form for quasi-homogeneous singularities. Com- positio Mathematica\n\n,\n\n(\n\n),\n\nโ\n\n[\n\n] Voisin, C. Hodge Theory and Complex Algebraic Geometry I, vol.\n\nof Cambridge Studies in Advanced Mathematics . Cambridge University Press,\n\n[\n\n] Wang, Z. Z., and Zaffran, D. A remark... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-29 | U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. Sหao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (2021).\n\nA. R. Cohomology of complete intersections in toric varieties. Pub-', lookup_str='', metadata={'source': '/var/folders/ph/hhm7... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-30 | Using PyPDFium2#
from langchain.document_loaders import PyPDFium2Loader
loader = PyPDFium2Loader("example_data/layout-parser-paper.pdf")
data = loader.load()
Using PDFMiner#
from langchain.document_loaders import PDFMinerLoader
loader = PDFMinerLoader("example_data/layout-parser-paper.pdf")
data = loader.load()
Using P... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-31 | cur_text = c.text
snippets.append((cur_text,cur_fs))
# Note: The above logic is very straightforward. One can also add more strategies such as removing duplicate snippets (as
# headers/footers in a PDF appear on multiple pages so if we find duplicatess safe to assume that it is redundant info)
from langchain.docstore.d... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-32 | # section (e.g. title of a pdf will have the highest font size but we don't want it to subsume all sections)
metadata={'heading':s[0], 'content_font': 0, 'heading_font': s[1]}
metadata.update(data.metadata)
semantic_snippets.append(Document(page_content='',metadata=metadata))
cur_idx += 1
semantic_snipp... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-33 | Document(page_content='Recently, various DL models and datasets have been developed for layout analysis\ntasks. The dhSegment [22] utilizes fully convolutional networks [20] for segmen-\ntation tasks on historical documents. Object detection-based methods like Faster\nR-CNN [28] and Mask R-CNN [12] are used for identif... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-34 | by Neudecker et al. [21], it is designed for\nanalyzing historical documents, and provides no supports for recent DL models.\nThe DocumentLayoutAnalysis project8 focuses on processing born-digital PDF\ndocuments via analyzing the stored PDF data. Repositories like DeepLayout9\nand Detectron2-PubLayNet10 are individual ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-35 | type as โcodeโ.\n7 https://ocr-d.de/en/about\n8 https://github.com/BobLd/DocumentLayoutAnalysis\n9 https://github.com/leonlulu/DeepLayout\n10 https://github.com/hpanwar08/detectron2\n11 https://github.com/JaidedAI/EasyOCR\n12 https://github.com/PaddlePaddle/PaddleOCR\n4\nZ. Shen et al.\nFig. 1: The overall architecture... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-36 | and deploying models for general computer\nvision and natural language processing problems. LayoutParser, on the other\nhand, specializes speci๏ฌcally in DIA tasks. LayoutParser is also equipped with a\ncommunity platform inspired by established model hubs such as Torch Hub [23]\nand TensorFlow Hub [1]. It enables the s... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-37 | Using PyMuPDF#
This is the fastest of the PDF parsing options, and contains detailed metadata about the PDF and its pages, as well as returns one document per page.
from langchain.document_loaders import PyMuPDFLoader
loader = PyMuPDFLoader("example_data/layout-parser-paper.pdf")
data = loader.load()
data[0] | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-38 | Document(page_content='LayoutParser: A Uni๏ฌed Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 (๏ฟฝ), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\nshannons@allenai.org\n2 Brown University\nruochen zhang@brown.edu\n3 Harvar... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-39 | processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser, an open-source\nli... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-40 | Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classi๏ฌcation [11,\narXiv:2103.15348v2 [cs.CV] 21 Jun 2021\n', lookup_str='', metadata={'file_path': 'example_data/layout-parser-paper.pdf', 'page_number': 1, 'total_pages': 16, 'fo... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-41 | Additionally, you can pass along any of the options from the PyMuPDF documentation as keyword arguments in the load call, and it will be pass along to the get_text() call.
PyPDF Directory#
Load PDFs from directory
from langchain.document_loaders import PyPDFDirectoryLoader
loader = PyPDFDirectoryLoader("example_data/")... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-42 | Document(page_content='LayoutParser: A Unified Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 ((cid:0)), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\n1202 shannons@allenai.org\n2 Brown University\nruochen zhang@brown.e... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-43 | of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademicresearchacross awiderangeof disciplinesinthesocialsciences\nand humanities. This paper introduces LayoutParser, an open-source\nlibrary for streamlining the usage of DL in DIA r... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-44 | metadata={'source': 'example_data/layout-parser-paper.pdf', 'file_path': 'example_data/layout-parser-paper.pdf', 'page': 1, 'total_pages': 16, 'Author': '', 'CreationDate': 'D:20210622012710Z', 'Creator': 'LaTeX with hyperref', 'Keywords': '', 'ModDate': 'D:20210622012710Z', 'PTEX.Fullbanner': 'This is pdfTeX, Version ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
a11635243b34-45 | previous
Pandas DataFrame
next
Sitemap
Contents
Using PyPDF
Using MathPix
Using Unstructured
Retain Elements
Fetching remote PDFs using Unstructured
Using PyPDFium2
Using PDFMiner
Using PDFMiner to generate HTML text
Using PyMuPDF
PyPDF Directory
Using pdfplumber
By Harrison Chase
ยฉ Copyright 2023, Harri... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html |
c472c00c7dc0-0 | .ipynb
.pdf
Telegram
Telegram#
Telegram Messenger is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.
This notebook covers ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/telegram.html |
e6431cf60741-0 | .ipynb
.pdf
Microsoft Word
Contents
Using Docx2txt
Using Unstructured
Retain Elements
Microsoft Word#
Microsoft Word is a word processor developed by Microsoft.
This covers how to load Word documents into a document format that we can use downstream.
Using Docx2txt#
Load .docx using Docx2txt into a document.
from lan... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/microsoft_word.html |
fbf4c7bfd79a-0 | .ipynb
.pdf
DuckDB
Contents
Specifying Which Columns are Content vs Metadata
Adding Source to Metadata
DuckDB#
DuckDB is an in-process SQL OLAP database management system.
Load a DuckDB query with one document per row.
#!pip install duckdb
from langchain.document_loaders import DuckDBLoader
%%file example.csv
Team,Pa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/duckdb.html |
fbf4c7bfd79a-1 | previous
Docugami
next
Figma
Contents
Specifying Which Columns are Content vs Metadata
Adding Source to Metadata
By Harrison Chase
ยฉ Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/duckdb.html |
907c1c8dfb65-0 | .ipynb
.pdf
AWS S3 Directory
Contents
Specifying a prefix
AWS S3 Directory#
Amazon Simple Storage Service (Amazon S3) is an object storage service
AWS S3 Directory
This covers how to load document objects from an AWS S3 Directory object.
#!pip install boto3
from langchain.document_loaders import S3DirectoryLoader
loa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/aws_s3_directory.html |
214eb88f026e-0 | .ipynb
.pdf
Obsidian
Obsidian#
Obsidian is a powerful and extensible knowledge base
that works on top of your local folder of plain text files.
This notebook covers how to load documents from an Obsidian database.
Since Obsidian is just stored on disk as a folder of Markdown files, the loader just takes a path to this ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/obsidian.html |
f618ddfc9366-0 | .ipynb
.pdf
ReadTheDocs Documentation
ReadTheDocs Documentation#
Read the Docs is an open-sourced free software documentation hosting platform. It generates documentation written with the Sphinx documentation generator.
This notebook covers how to load content from HTML that was generated as part of a Read-The-Docs bui... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/readthedocs_documentation.html |
bae1125e33d5-0 | .ipynb
.pdf
TOML
TOML#
TOML is a file format for configuration files. It is intended to be easy to read and write, and is designed to map unambiguously to a dictionary. Its specification is open-source. TOML is implemented in many programming languages. The name TOML is an acronym for โTomโs Obvious, Minimal Languageโ ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/toml.html |
bae9dec5a516-0 | .ipynb
.pdf
Blackboard
Blackboard#
Blackboard Learn (previously the Blackboard Learning Management System) is a web-based virtual learning environment and learning management system developed by Blackboard Inc. The software features course management, customizable open architecture, and scalable design that allows inte... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blackboard.html |
3fae15f88608-0 | .ipynb
.pdf
Docugami
Contents
Prerequisites
Load Documents
Basic Use: Docugami Loader for Document QA
Using Docugami to Add Metadata to Chunks for High Accuracy Document QA
Docugami#
This notebook covers how to load documents from Docugami. See here for more details, and the advantages of using this system over alter... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-1 | docs = loader.load()
docs
[Document(page_content='MUTUAL NON-DISCLOSURE AGREEMENT This Mutual Non-Disclosure Agreement (this โ Agreement โ) is entered into and made effective as of April 4 , 2018 between Docugami Inc. , a Delaware corporation , whose address is 150 Lake Street South , Suite 221 , Kirkland... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-2 | Document(page_content='In consideration of the foregoing, the parties agree as follows:', metadata={'xpath': '/docset:MutualNon-disclosure/docset:MutualNon-disclosure/docset:MUTUALNON-DISCLOSUREAGREEMENT-section/docset:MUTUALNON-DISCLOSUREAGREEMENT/docset:Consideration/docset:Consideration', 'id': '43rj0ds7s0ur', 'name... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-3 | Document(page_content="2. Obligations and Restrictions . Each party agrees: (i) to maintain the other party's Confidential Information in strict confidence; (ii) not to disclose such Confidential Information to any third party; and (iii) not to use such Confidential Information for any purpose except for the Pur... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-4 | Document(page_content='3. Exceptions. The obligations and restrictions in Section 2 will not apply to any information or materials that:', metadata={'xpath': '/docset:MutualNon-disclosure/docset:MutualNon-disclosure/docset:MUTUALNON-DISCLOSUREAGREEMENT-section/docset:MUTUALNON-DISCLOSUREAGREEMENT/docset:Consideration... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-5 | Document(page_content='(ii) were rightfully known by the receiving party prior to receiving such information or materials from the disclosing party;', metadata={'xpath': '/docset:MutualNon-disclosure/docset:MutualNon-disclosure/docset:MUTUALNON-DISCLOSUREAGREEMENT-section/docset:MUTUALNON-DISCLOSUREAGREEMENT/docset:Con... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-6 | Document(page_content='4. Compelled Disclosure . Nothing in this Agreement will be deemed to restrict a party from disclosing the other partyโs Confidential Information to the extent required by any order, subpoena, law, statute or regulation; provided, that the party required to make such a disclosure uses reasona... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-7 | Document(page_content='5. Return of Confidential Information . Upon the completion or abandonment of the Purpose, and in any event upon the disclosing partyโs request, the receiving party will promptly return to the disclosing party all tangible items and embodiments containing or consisting of the disclosing partyโs... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-8 | Document(page_content='6. No Obligations . Each party retains the right to determine whether to disclose any Confidential Information to the other party.', metadata={'xpath': '/docset:MutualNon-disclosure/docset:MutualNon-disclosure/docset:MUTUALNON-DISCLOSUREAGREEMENT-section/docset:MUTUALNON-DISCLOSUREAGREEMENT/do... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-9 | Document(page_content='8. Term. This Agreement will remain in effect for a period of seven ( 7 ) years from the date of last disclosure of Confidential Information by either party, at which time it will terminate.', metadata={'xpath': '/docset:MutualNon-disclosure/docset:MutualNon-disclosure/docset:MUTUALNON-DIS... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-10 | Document(page_content='10. Non-compete. To the maximum extent permitted by applicable law, during the Term of this Agreement and for a period of one ( 1 ) year thereafter, Caleb Divine may not market software products or do business that directly or indirectly competes with Docugami software products .', me... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-11 | Document(page_content='11. Miscellaneous. This Agreement will be governed and construed in accordance with the laws of the State of Washington , excluding its body of law controlling conflict of laws. This Agreement is the complete and exclusive understanding and agreement between the parties regarding the subje... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-12 | Document(page_content='[SIGNATURE PAGE FOLLOWS] IN WITNESS WHEREOF, the parties hereto have executed this Mutual Non-Disclosure Agreement by their duly authorized officers or representatives as of the date first set forth above.', metadata={'xpath': '/docset:MutualNon-disclosure/docset:Witness/docset:TheParties/doc... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-13 | tag: Semantic tag for the chunk, using various generative and extractive techniques. More details here: https://github.com/docugami/DFM-benchmarks
Basic Use: Docugami Loader for Document QA#
You can use the Docugami Loader like a standard loader for Document QA over multiple docs, albeit with much better chunks that fo... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-14 | )
Using embedded DuckDB without persistence: data will be transient
# Try out the retriever with an example query
qa_chain("What can tenants do with signage on their properties?")
{'query': 'What can tenants do with signage on their properties?',
'result': ' Tenants may place signs (digital or otherwise) or other form... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-15 | 'source_documents': [Document(page_content='ARTICLE VI SIGNAGE 6.01 Signage . Tenant may place or attach to the Premises signs (digital or otherwise) or other such identification as needed after receiving written permission from the Landlord , which permission shall not be unreasonably withheld. Any damage caused... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-16 | Document(page_content='Signage. Tenant may place or attach to the Premises signs (digital or otherwise) or other such identification as needed after receiving written permission from the Landlord , which permission shall not be unreasonably withheld. Any damage caused to the Premises by the Tenant โs erecting or ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
3fae15f88608-17 | Document(page_content='Landlord , its agents, servants, employees, licensees, invitees, and contractors during the last year of the term of this Lease at any and all times during regular business hours, after 24 hour notice to tenant, to pass and repass on and through the Premises, or such portion thereof as may ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/docugami.html |
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