id stringlengths 14 16 | source stringlengths 49 117 | text stringlengths 16 2.73k |
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f896cfa7c017-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/atlas.html | .ipynb
.pdf
Atlas
Atlas#
Atlas is a platform for interacting with both small and internet scale unstructured datasets by Nomic.
This notebook shows you how to use functionality related to the AtlasDB vectorstore.
!pip install spacy
!python3 -m spacy download en_core_web_sm
!pip install nomic
import time
from langchain.... |
f896cfa7c017-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/atlas.html | Explore on atlas.nomic.ai
previous
Annoy
next
Chroma
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 04, 2023. |
41e2be778248-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | .ipynb
.pdf
PGVector
Contents
Similarity search with score
Similarity Search with Euclidean Distance (Default)
Working with vectorstore in PG
Uploading a vectorstore in PG
Retrieving a vectorstore in PG
PGVector#
PGVector is an open-source vector similarity search for Postgres
It supports:
exact and approximate neare... |
41e2be778248-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | Requirement already satisfied: charset-normalizer<4,>=2 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from requests>=2.20->openai) (3.1.0)
Requirement already satisfied: idna<4,>=2.5 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from requests>=2.20->openai) (3.4)
Requ... |
41e2be778248-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | Requirement already satisfied: yarl<2.0,>=1.0 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from aiohttp->openai) (1.9.2)
Requirement already satisfied: frozenlist>=1.1.1 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from aiohttp->openai) (1.3.3)
Requirement already s... |
41e2be778248-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | Requirement already satisfied: idna<4,>=2.5 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from requests>=2.26.0->tiktoken) (3.4)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/joyeed/langchain/langchain/.venv/lib/python3.9/site-packages (from requests>=2.26.0->tiktoken) (1.26.1... |
41e2be778248-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | CONNECTION_STRING = PGVector.connection_string_from_db_params(
driver=os.environ.get("PGVECTOR_DRIVER", "psycopg2"),
host=os.environ.get("PGVECTOR_HOST", "localhost"),
port=int(os.environ.get("PGVECTOR_PORT", "5432")),
database=os.environ.get("PGVECTOR_DATABASE", "postgres"),
user=os.environ.get("PG... |
41e2be778248-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | query = "What did the president say about Ketanji Brown Jackson"
docs_with_score: List[Tuple[Document, float]] = db.similarity_search_with_score(query)
for doc, score in docs_with_score:
print("-" * 80)
print("Score: ", score)
print(doc.page_content)
print("-" * 80)
-------------------------------------... |
41e2be778248-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.
And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of ... |
41e2be778248-7 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | We’ve set up joint patrols with Mexico and Guatemala to catch more human traffickers.
We’re putting in place dedicated immigration judges so families fleeing persecution and violence can have their cases heard faster.
We’re securing commitments and supporting partners in South and Central America to host more refuge... |
41e2be778248-8 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | docs_with_score: List[Tuple[Document, float]] = db1.similarity_search_with_score(query)
print(docs_with_score) |
41e2be778248-9 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | [(Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justi... |
41e2be778248-10 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | 0.6075870262188066), (Document(page_content='A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to form... |
41e2be778248-11 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | Central America to host more refugees and secure their own borders.', metadata={'source': '../../../state_of_the_union.txt'}), 0.6589478388546668)] |
41e2be778248-12 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | for doc, score in docs_with_score:
print("-" * 80)
print("Score: ", score)
print(doc.page_content)
print("-" * 80)
--------------------------------------------------------------------------------
Score: 0.6075870262188066
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lew... |
41e2be778248-13 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
--------------------------------------------------------------------------------
-----------------------------------------------... |
41e2be778248-14 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/pgvector.html | We’re putting in place dedicated immigration judges so families fleeing persecution and violence can have their cases heard faster.
We’re securing commitments and supporting partners in South and Central America to host more refugees and secure their own borders.
-------------------------------------------------------... |
6b50ed5a265f-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/sklearn.html | .ipynb
.pdf
SKLearnVectorStore
Contents
Basic usage
Load a sample document corpus
Create the SKLearnVectorStore, index the document corpus and run a sample query
Saving and loading a vector store
Clean-up
SKLearnVectorStore#
scikit-learn is an open source collection of machine learning algorithms, including some impl... |
6b50ed5a265f-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/sklearn.html | vector_store = SKLearnVectorStore.from_documents(
documents=docs,
embedding=embeddings,
persist_path=persist_path, # persist_path and serializer are optional
serializer='parquet'
)
query = "What did the president say about Ketanji Brown Jackson"
docs = vector_store.similarity_search(query)
print(docs[0... |
6b50ed5a265f-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/sklearn.html | A new instance of vector store was loaded from /var/folders/6r/wc15p6m13nl_nl_n_xfqpc5c0000gp/T/union.parquet
docs = vector_store2.similarity_search(query)
print(docs[0].page_content)
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the ... |
17f9304342ca-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/vectara.html | .ipynb
.pdf
Vectara
Contents
Connecting to Vectara from LangChain
Similarity search
Similarity search with score
Vectara as a Retriever
Vectara#
Vectara is a API platform for building LLM-powered applications. It provides a simple to use API for document indexing and query that is managed by Vectara and is optimized ... |
17f9304342ca-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/vectara.html | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service. One of the most serious constitutional responsibilities a President ha... |
17f9304342ca-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/vectara.html | retriever = vectara.as_retriever()
retriever
VectorStoreRetriever(vectorstore=<langchain.vectorstores.vectara.Vectara object at 0x156d3e830>, search_type='similarity', search_kwargs={})
query = "What did the president say about Ketanji Brown Jackson"
retriever.get_relevant_documents(query)[0]
Document(page_content='Ton... |
bf9ae75253d6-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/zilliz.html | .ipynb
.pdf
Zilliz
Zilliz#
Zilliz Cloud is a fully managed service on cloud for LF AI Milvus®,
This notebook shows how to use functionality related to the Zilliz Cloud managed vector database.
To run, you should have a Zilliz Cloud instance up and running. Here are the installation instructions
!pip install pymilvus
We... |
bf9ae75253d6-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/zilliz.html | }
)
query = "What did the president say about Ketanji Brown Jackson"
docs = vector_db.similarity_search(query)
docs[0].page_content
'Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding o... |
b60b48a8ff71-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lancedb.html | .ipynb
.pdf
LanceDB
LanceDB#
LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrevial, filtering and management of embeddings. Fully open source.
This notebook shows how to use functionality related to the LanceDB vector database based on the Lance data form... |
b60b48a8ff71-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lancedb.html | I spoke with their families and told them that we are forever in debt for their sacrifice, and we will carry on their mission to restore the trust and safety every community deserves.
I’ve worked on these issues a long time.
I know what works: Investing in crime preventionand community police officers who’ll walk the... |
b60b48a8ff71-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lancedb.html | The most fundamental right in America is the right to vote – and to have it counted. And it’s under assault.
In state after state, new laws have been passed, not only to suppress the vote, but to subvert entire elections.
We cannot let this happen.
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass... |
b60b48a8ff71-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lancedb.html | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 04, 2023. |
fbe75be6b153-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | .ipynb
.pdf
Annoy
Contents
Create VectorStore from texts
Create VectorStore from docs
Create VectorStore via existing embeddings
Search via embeddings
Search via docstore id
Save and load
Construct from scratch
Annoy#
Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for po... |
fbe75be6b153-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | vector_store.similarity_search_with_score("food", k=3)
[(Document(page_content='pizza is great', metadata={}), 1.0944390296936035),
(Document(page_content='I love salad', metadata={}), 1.1273186206817627),
(Document(page_content='my car', metadata={}), 1.1580758094787598)]
Create VectorStore from docs#
from langchain... |
fbe75be6b153-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | Document(page_content='Groups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland. \n\nIn this struggle as President Zelenskyy said in his speech to the European Parliament “Light will win over darkness.” The Ukrainian Ambassador to the Unit... |
fbe75be6b153-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | Document(page_content='Putin’s latest attack on Ukraine was premeditated and unprovoked. \n\nHe rejected repeated efforts at diplomacy. \n\nHe thought the West and NATO wouldn’t respond. And he thought he could divide us at home. Putin was wrong. We were ready. Here is what we did. \n\nWe prepared extensively and ca... |
fbe75be6b153-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | Document(page_content='We are inflicting pain on Russia and supporting the people of Ukraine. Putin is now isolated from the world more than ever. \n\nTogether with our allies –we are right now enforcing powerful economic sanctions. \n\nWe are cutting off Russia’s largest banks from the international financial system. ... |
fbe75be6b153-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | Document(page_content='And tonight I am announcing that we will join our allies in closing off American air space to all Russian flights – further isolating Russia – and adding an additional squeeze –on their economy. The Ruble has lost 30% of its value. \n\nThe Russian stock market has lost 40% of its value and tradin... |
fbe75be6b153-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | (Document(page_content='I love salad', metadata={}), 1.1273186206817627),
(Document(page_content='my car', metadata={}), 1.1580758094787598)]
Search via embeddings#
motorbike_emb = embeddings_func.embed_query("motorbike")
vector_store.similarity_search_by_vector(motorbike_emb, k=3)
[Document(page_content='my car', met... |
fbe75be6b153-7 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | vector_store.similarity_search_with_score_by_index(some_docstore_id, k=3)
[(Document(page_content='pizza is great', metadata={}), 0.0),
(Document(page_content='I love salad', metadata={}), 1.0734446048736572),
(Document(page_content='my car', metadata={}), 1.2895267009735107)]
Save and load#
vector_store.save_local("... |
fbe75be6b153-8 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/annoy.html | metadata = metadatas[i] if metadatas else {}
documents.append(Document(page_content=text, metadata=metadata))
index_to_docstore_id = {i: str(uuid.uuid4()) for i in range(len(documents))}
docstore = InMemoryDocstore(
{index_to_docstore_id[i]: doc for i, doc in enumerate(documents)}
)
db_manually = Annoy(
emb... |
b5250b937e5a-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/redis.html | .ipynb
.pdf
Redis
Contents
Installing
Example
Redis as Retriever
Redis#
Redis (Remote Dictionary Server) is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability.
This notebook shows how to use functionality related to the Redis vect... |
b5250b937e5a-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/redis.html | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... |
b5250b937e5a-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/redis.html | And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
Redis as Retriever#
Here we go over different options for using the vector store as a retriever.
There are three different searc... |
f4cbb5e8ccfe-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | .ipynb
.pdf
Supabase (Postgres)
Contents
Similarity search with score
Retriever options
Maximal Marginal Relevance Searches
Supabase (Postgres)#
Supabase is an open source Firebase alternative. Supabase is built on top of PostgreSQL, which offers strong SQL querying capabilities and enables a simple interface with al... |
f4cbb5e8ccfe-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | 1 -(documents.embedding <=> query_embedding) AS similarity
FROM
documents
ORDER BY
documents.embedding <=> query_embedding
LIMIT match_count;
END;
$$;
# with pip
!pip install supabase
# with conda
# !conda install -c conda-forge supabase
We wa... |
f4cbb5e8ccfe-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | # We're using the default `documents` table here. You can modify this by passing in a `table_name` argument to the `from_documents` method.
vector_store = SupabaseVectorStore.from_documents(
docs, embeddings, client=supabase
)
query = "What did the president say about Ketanji Brown Jackson"
matched_docs = vector_st... |
f4cbb5e8ccfe-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | (Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... |
f4cbb5e8ccfe-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... |
f4cbb5e8ccfe-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | And I’m taking robust action to make sure the pain of our sanctions is targeted at Russia’s economy. And I will use every tool at our disposal to protect American businesses and consumers.
Tonight, I can announce that the United States has worked with 30 other countries to release 60 Million barrels of oil from reser... |
f4cbb5e8ccfe-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/supabase.html | I know what works: Investing in crime preventionand community police officers who’ll walk the beat, who’ll know the neighborhood, and who can restore trust and safety.
previous
SKLearnVectorStore
next
Tair
Contents
Similarity search with score
Retriever options
Maximal Marginal Relevance Searches
By Harrison Chase
... |
ce616b0d82e1-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | .ipynb
.pdf
Qdrant
Contents
Connecting to Qdrant from LangChain
Local mode
In-memory
On-disk storage
On-premise server deployment
Qdrant Cloud
Reusing the same collection
Similarity search
Similarity search with score
Metadata filtering
Maximum marginal relevance search (MMR)
Qdrant as a Retriever
Customizing Qdrant
... |
ce616b0d82e1-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | Connecting to Qdrant from LangChain#
Local mode#
Python client allows you to run the same code in local mode without running the Qdrant server. That’s great for testing things out and debugging or if you plan to store just a small amount of vectors. The embeddings might be fully kepy in memory or persisted on disk.
In-... |
ce616b0d82e1-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | If you prefer not to keep yourself busy with managing the infrastructure, you can choose to set up a fully-managed Qdrant cluster on Qdrant Cloud. There is a free forever 1GB cluster included for trying out. The main difference with using a managed version of Qdrant is that you’ll need to provide an API key to secure y... |
ce616b0d82e1-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections.
Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army ve... |
ce616b0d82e1-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
Score: 0.8153784913324512
Metadata filtering#
Qdrant has an extensive filtering system with rich type support. It is also possib... |
ce616b0d82e1-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.
And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of ... |
ce616b0d82e1-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | It might be also specified to use MMR as a search strategy, instead of similarity.
retriever = qdrant.as_retriever(search_type="mmr")
retriever
VectorStoreRetriever(vectorstore=<langchain.vectorstores.qdrant.Qdrant object at 0x7fc4e5720a00>, search_type='mmr', search_kwargs={})
query = "What did the president say about... |
ce616b0d82e1-7 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html | "foo": "bar"
}
}
You can, however, decide to use different keys for the page content and metadata. That’s useful if you already have a collection that you’d like to reuse. You can always change the
Qdrant.from_documents(
docs, embeddings,
location=":memory:",
collection_name="my_documents_2",
conte... |
02fb23edb911-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.html | .ipynb
.pdf
MongoDB Atlas Vector Search
MongoDB Atlas Vector Search#
MongoDB Atlas is a document database managed in the cloud. It also enables Lucene and its vector search feature.
This notebook shows how to use the functionality related to the MongoDB Atlas Vector Search feature where you can store your embeddings in... |
02fb23edb911-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.html | from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import MongoDBAtlasVectorSearch
from langchain.document_loaders import TextLoader
from langchain.document_loaders import TextLoader
loader = TextLoader('../../../state_of_the_union.txt')
documents = loader.load()
text_splitter = Chara... |
d6e40c649875-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/milvus.html | .ipynb
.pdf
Milvus
Milvus#
Milvus is a database that stores, indexes, and manages massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
This notebook shows how to use functionality related to the Milvus vector database.
To run, you should have a Milvus instance up and runni... |
d6e40c649875-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/milvus.html | 'Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Arm... |
f88845974341-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html | .ipynb
.pdf
Chroma
Contents
Similarity search with score
Persistance
Initialize PeristedChromaDB
Persist the Database
Load the Database from disk, and create the chain
Retriever options
MMR
Updating a Document
Chroma#
Chroma is a database for building AI applications with embeddings.
This notebook shows how to use fu... |
f88845974341-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... |
f88845974341-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html | Create embeddings for each chunk and insert into the Chroma vector database. The persist_directory argument tells ChromaDB where to store the database when it’s persisted.
# Embed and store the texts
# Supplying a persist_directory will store the embeddings on disk
persist_directory = 'db'
embedding = OpenAIEmbeddings(... |
f88845974341-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html | Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justice... |
f88845974341-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/chroma.html | At this point, we have a new Chroma instance with a single document “This is an initial document content” with id “doc1”. Now, let’s update the content of the document.
# Updated document content
updated_content = "This is the updated document content"
# Create a new Document instance with the updated content
updated_d... |
9f7757a27092-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | .ipynb
.pdf
Deep Lake
Contents
Retrieval Question/Answering
Attribute based filtering in metadata
Choosing distance function
Maximal Marginal relevance
Delete dataset
Deep Lake datasets on cloud (Activeloop, AWS, GCS, etc.) or in memory
Creating dataset on AWS S3
Deep Lake API
Transfer local dataset to cloud
Deep Lak... |
9f7757a27092-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Create a dataset locally at ./deeplake/, then run similiarity search. The Deeplake+LangChain integration uses Deep Lake datasets under the hood, so dataset and vector store are used interchangeably. To create a dataset in your own cloud, or in the Deep Lake storage, adjust the path accordingly.
db = DeepLake(dataset_pa... |
9f7757a27092-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections.
Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army ve... |
9f7757a27092-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Retrieval Question/Answering#
from langchain.chains import RetrievalQA
from langchain.llms import OpenAIChat
qa = RetrievalQA.from_chain_type(llm=OpenAIChat(model='gpt-3.5-turbo'), chain_type='stuff', retriever=db.as_retriever())
/home/leo/.local/lib/python3.10/site-packages/langchain/llms/openai.py:624: UserWarning: Y... |
9f7757a27092-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | ids text (4, 1) str None
metadata json (4, 1) str None
text text (4, 1) str None
db.similarity_search('What did the president say about Ketanji Brown Jackson', filter={'year': 2013})
100%|██████████| 4/4 [00:00<00:00, 1080.24it/s]
[Document(page_content='... |
9f7757a27092-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... |
9f7757a27092-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | [Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... |
9f7757a27092-7 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to former judges appointed by... |
9f7757a27092-8 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... |
9f7757a27092-9 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='Tonight, I’m announcing a crackdown on these companies overcharging American businesses and consumers. \n\nAnd as Wall Street firms take over more nursing homes, quality in those homes has gone down and costs have gone up. \n\nThat ends on my watch. \n\nMedicare is going to set higher standards ... |
9f7757a27092-10 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | [Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... |
9f7757a27092-11 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='Tonight, I’m announcing a crackdown on these companies overcharging American businesses and consumers. \n\nAnd as Wall Street firms take over more nursing homes, quality in those homes has gone down and costs have gone up. \n\nThat ends on my watch. \n\nMedicare is going to set higher standards ... |
9f7757a27092-12 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to former judges appointed by... |
9f7757a27092-13 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Document(page_content='And for our LGBTQ+ Americans, let’s finally get the bipartisan Equality Act to my desk. The onslaught of state laws targeting transgender Americans and their families is wrong. \n\nAs I said last year, especially to our younger transgender Americans, I will always have your back as your President... |
9f7757a27092-14 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | dataset_path = f"hub://{username}/langchain_test" # could be also ./local/path (much faster locally), s3://bucket/path/to/dataset, gcs://path/to/dataset, etc.
embedding = OpenAIEmbeddings()
db = DeepLake(dataset_path=dataset_path, embedding_function=embeddings, overwrite=True)
db.add_documents(docs)
Your Deep Lake data... |
9f7757a27092-15 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | query = "What did the president say about Ketanji Brown Jackson"
docs = db.similarity_search(query)
print(docs[0].page_content)
Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our el... |
9f7757a27092-16 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | Dataset(path='s3://hub-2.0-datasets-n/langchain_test', tensors=['embedding', 'ids', 'metadata', 'text'])
tensor htype shape dtype compression
------- ------- ------- ------- -------
embedding generic (4, 1536) float32 None
ids text (4, 1) str None
metadata ... |
9f7757a27092-17 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | deeplake.deepcopy(src=source, dest=destination, overwrite=True)
Copying dataset: 100%|██████████| 56/56 [00:38<00:00
This dataset can be visualized in Jupyter Notebook by ds.visualize() or at https://app.activeloop.ai/davitbun/langchain_test_copy
Your Deep Lake dataset has been successfully created!
The dataset is priv... |
9f7757a27092-18 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/deeplake.html | tensor htype shape dtype compression
------- ------- ------- ------- -------
embedding generic (8, 1536) float32 None
ids text (8, 1) str None
metadata json (8, 1) str None
text text (8, 1) str None
['ad42f3fe-e188-11... |
8fed2f4241d0-0 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | .ipynb
.pdf
Weaviate
Contents
Weaviate
Similarity search with score
Persistance
Retriever options
Retriever options
MMR
Question Answering with Sources
Weaviate#
Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly int... |
8fed2f4241d0-1 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | Requirement already satisfied: charset-normalizer<4,>=2 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from requests<2.29.0,>=2.28.0->weaviate-client) (3.1.0)
Requirement already satisfied: idna<4,>=2.5 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from requests<2.29.0,>=2.28.0->weaviate-clie... |
8fed2f4241d0-2 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | Requirement already satisfied: pycparser in /workspaces/langchain/.venv/lib/python3.9/site-packages (from cffi>=1.12->cryptography>=3.2->authlib>=1.1.0->weaviate-client) (2.21)
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("... |
8fed2f4241d0-3 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.
One of the most serious constitutional responsibilities a President h... |
8fed2f4241d0-4 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | (Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justic... |
8fed2f4241d0-5 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.03392191, 0.002800712, -0.0027778621, -0.024259781, -0.006202043, -0.019950991, 0.0176138, -0.0001134321, 0.008343379, 0.034209162, -0.027654583, 0.03149332, -0.0008389079, 0.0053696632, -0.0024644958, -0.016582303, 0.0066720927, -0.005036711, -0.035514854, 0.002942706, 0.02958701, 0.032825127, 0.015694432, -0.01984... |
8fed2f4241d0-6 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | 0.010752384, 0.0053598704, -0.00019248774, 0.008480477, -0.010517359, -0.005017126, 0.0020434097, 0.011699011, 0.0051379027, 0.021687564, -0.010830725, 0.020734407, -0.006606808, 0.029769806, 0.02817686, -0.047318324, 0.024338122, -0.001150642, -0.026231378, -0.012325744, -0.0318328, -0.0094989175, -0.00897664, 0.00473... |
8fed2f4241d0-7 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | 0.0031973163, -0.01115062, 0.004837593, 0.01298512, -0.018645298, -0.02992649, 0.004837593, 0.0067634913, 0.02992649, 0.0145062525, 0.00566018, -0.0017055618, -0.0056667086, 0.012697867, 0.0150677, -0.007559964, -0.01991182, -0.005268472, -0.008650217, -0.008702445, 0.027550127, 0.0018296026, 0.0018589807, -0.033295177... |
8fed2f4241d0-8 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.01902395, -0.635507, -0.030083172, 0.0177052, -0.0104912445, 0.012502013, -0.0010747487, 0.00465806, 0.020825805, -0.006887532, 0.013892576, -0.019977106, 0.029952602, 0.0012004217, -0.015211326, -0.008708973, -0.017809656, 0.008578404, -0.01612531, 0.022614606, -0.022327352, -0.032616217, 0.0050693536, -0.020629952... |
8fed2f4241d0-9 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.010732798, -0.00876773, -0.0075273216, -0.016530076, 0.018175248, 0.016020855, -0.00067284, 0.013461698, -0.0065904865, -0.017809656, -0.014741276, 0.016582303, -0.0088526, 0.0046482678, 0.037473395, -0.02237958, 0.010112594, 0.022549322, 9.680491e-05, -0.0059082615, 0.020747464, -0.026923396, 0.01162067, -0.0074816... |
8fed2f4241d0-10 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | 0.02318911, -0.031754456, -0.018188305, -0.031441092, -0.030579336, 0.0011832844, 0.0065023527, -0.027053965, 0.009198609, 0.022079272, -0.027785152, 0.005846241, 0.013500868, 0.016699815, 0.010445545, -0.025265165, -0.004396922, 0.0076774764, 0.014597651, -0.009851455, -0.03637661, 0.0004745379, -0.010112594, -0.00920... |
8fed2f4241d0-11 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.013670608, 0.011059221, -0.005438212, 0.0406854, 0.0006218364, -0.024494806, -0.041259903, 0.022013986, -0.0040019494, -0.0052097156, 0.015798887, 0.016190596, 0.0003794671, -0.017444061, 0.012325744, 0.024769, 0.029482553, -0.0046547963, -0.015955571, -0.018397218, -0.0102431625, 0.020577725, 0.016190596, -0.020381... |
8fed2f4241d0-12 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | 0.0047951583, -0.026923396, 0.014675993, 0.0055851024, 0.015616091, -0.012306159, 0.007670948, 0.038439605, -0.015759716, 0.00016178355, 0.01076544, -0.008232395, -0.009942854, 0.018801982, -0.0025314125, 0.030709906, -0.001442791, -0.042617824, -0.007409809, -0.013109161, 0.031101612, 0.016229765, 0.006162872, 0.01790... |
8fed2f4241d0-13 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | 0.000504324, 0.03157166, 0.010112594, -0.009009283, 0.026557801, -0.013997031, -0.0071878415, 0.009414048, -0.03480978, 0.006626393, 0.013827291, -0.011444401, -0.011823053, -0.0042957305, -0.016229765, -0.014192886, 0.026531687, -0.012534656, -0.0056569157, -0.0010331298, 0.007977786, 0.0033654245, -0.017352663, 0.034... |
8fed2f4241d0-14 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.019128405, 0.0079582, -0.026270548, -0.015877228, 0.014153715, -0.011960151, 0.007853745, 0.006972402, -0.014101488, 0.02456009, 0.015119928, -0.0018850947, 0.019010892, -0.0046188897, -0.0050954674, -0.03548874, -0.01608614, -0.00324628, 0.009466276, 0.031911142, 7.033402e-05, -0.025095424, 0.020225188, 0.014832675... |
8fed2f4241d0-15 | https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/weaviate.html | -0.00075689406, 0.0076578907, -0.019337315, -0.0024187965, -0.0110331075, -0.01187528, 0.0013048771, 0.0009711094, -0.027863493, -0.020616895, -0.0024481746, -0.0040802914, 0.014571536, -0.012306159, -0.037630077, 0.012652168, 0.009068039, -0.0018263385, 0.0371078, -0.0026831995, 0.011333417, -0.011548856, -0.005904997... |
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