id stringlengths 14 15 | text stringlengths 23 2.21k | source stringlengths 52 97 |
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72c4d1fb1040-0 | ElasticSearch | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-2 | https://username:password@es_host:9243. For example, to connect to Elastic
Cloud, create the Elasticsearch URL with the required authentication details and
pass it to the ElasticVectorSearch constructor as the named parameter
elasticsearch_url.You can obtain your Elastic Cloud URL and login credentials by logging in to... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-3 | https://username:password@cluster_id.region_id.gcp.cloud.es.io:9243.Example: from langchain import ElasticVectorSearch from langchain.embeddings import OpenAIEmbeddings embedding = OpenAIEmbeddings() elastic_host = "cluster_id.region_id.gcp.cloud.es.io" elasticsearch_url = f"https://u... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-4 | = "What did the president say about Ketanji Brown Jackson"docs = db.similarity_search(query)print(docs[0].page_content) 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 th... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-5 | = "<index_name>"# input_field = "your_input_field" # if different from 'text_field'# Generate embedding objectembeddings = ElasticsearchEmbeddings.from_credentials( model_id, # input_field=input_field, es_cloud_id=es_cloud_id, es_user=es_user, es_password=es_password,)# Initialize ElasticKnnSearchknn_sea... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-6 | search results for query '{query}': {hybrid_result}")print( f"The 'text' field value from the top hit is: '{hybrid_result['hits']['hits'][0]['_source']['text']}'")Test knn search using pre generated vector​# Generate embedding for testsquery_text = "Hello"query_embedding = embeddings.embed_query(query_text)print( ... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
72c4d1fb1040-7 | Test `knn_search` method with model_id and query_textquery = "Hello"knn_result = knn_search.knn_search(query=query, model_id=model_id, k=2, fields=["text"])assert "text" in knn_result["hits"]["hits"][0]["fields"].keys()# Test `hybrid_search` methodquery = "Hello"hybrid_result = knn_search.knn_hybrid_search( query=qu... | https://python.langchain.com/docs/integrations/vectorstores/elasticsearch |
453d349ca215-0 | Typesense | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/typesense |
453d349ca215-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/typesense |
453d349ca215-2 | import Typesensefrom langchain.document_loaders import TextLoaderLet's import our test dataset:loader = TextLoader("../../../state_of_the_union.txt")documents = loader.load()text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)docs = text_splitter.split_documents(documents)embeddings = OpenAIEmbedding... | https://python.langchain.com/docs/integrations/vectorstores/typesense |
5e906769f3b1-0 | LanceDB | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
5e906769f3b1-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
5e906769f3b1-2 | = OpenAIEmbeddings()import lancedbdb = lancedb.connect("/tmp/lancedb")table = db.create_table( "my_table", data=[ { "vector": embeddings.embed_query("Hello World"), "text": "Hello World", "id": "1", } ], mode="overwrite",)docsearch = LanceDB.from_documents(docu... | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
5e906769f3b1-3 | not abandon our streets. Or choose between safety and equal justice. Let’s come together to protect our communities, restore trust, and hold law enforcement accountable. That’s why the Justice Department required body cameras, banned chokeholds, and restricted no-knock warrants for its officers. ... | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
5e906769f3b1-4 | 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 ... | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
5e906769f3b1-5 | secure the Border and fix the immigration system. We can do both. At our border, we’ve installed new technology like cutting-edge scanners to better detect drug smuggling. We’ve set up joint patrols with Mexico and Guatemala to catch more human traffickers. We’re putting in place dedicat... | https://python.langchain.com/docs/integrations/vectorstores/lancedb |
40fac49160a9-0 | Azure Cognitive Search | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/azuresearch |
40fac49160a9-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/azuresearch |
40fac49160a9-2 | = "azure"openai.api_base = "YOUR_OPENAI_ENDPOINT"openai.api_version = "2023-05-15"openai.api_key = "YOUR_OPENAI_API_KEY"model: str = "text-embedding-ada-002"Configure vector store settings​Set up the vector store settings using environment variables:vector_store_address: str = "YOUR_AZURE_SEARCH_ENDPOINT"vector_store... | https://python.langchain.com/docs/integrations/vectorstores/azuresearch |
40fac49160a9-3 | 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... | https://python.langchain.com/docs/integrations/vectorstores/azuresearch |
40fac49160a9-4 | 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... | https://python.langchain.com/docs/integrations/vectorstores/azuresearch |
a8b424a58e25-0 | MongoDB Atlas | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas |
a8b424a58e25-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas |
a8b424a58e25-2 | To get started head over to Atlas here: quick start.pip install pymongoimport osimport getpassMONGODB_ATLAS_CLUSTER_URI = getpass.getpass("MongoDB Atlas Cluster URI:")We want to use OpenAIEmbeddings so we need to set up our OpenAI API Key. os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")Now, let's crea... | https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas |
a8b424a58e25-3 | You can name the index langchain_demo and create the index on the namespace lanchain_db.langchain_col. Finally, write the following definition in the JSON editor on MongoDB Atlas:{ "mappings": { "dynamic": true, "fields": { "embedding": { "dimensions": 1536, "similarity": "cosine", "typ... | https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas |
a8b424a58e25-4 | collection, OpenAIEmbeddings(), index_name=index_name)# perform a similarity search between a query and the ingested documentsquery = "What did the president say about Ketanji Brown Jackson"docs = vectorstore.similarity_search(query)print(docs[0].page_content)PreviousMilvusNextMyScaleCommunityDiscordTwitterGitHubPython... | https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas |
822522377f3b-0 | OpenSearch | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/opensearch |
822522377f3b-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/opensearch |
822522377f3b-2 | Check this for more details.Installation​Install the Python client.pip install opensearch-pyWe want to use OpenAIEmbeddings so we have to get the OpenAI API Key.import osimport getpassos.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")from langchain.embeddings.openai import OpenAIEmbeddingsfrom langchai... | https://python.langchain.com/docs/integrations/vectorstores/opensearch |
822522377f3b-3 | OpenSearchVectorSearch.from_documents( docs, embeddings, opensearch_url="http://localhost:9200", engine="faiss", space_type="innerproduct", ef_construction=256, m=48,)query = "What did the president say about Ketanji Brown Jackson"docs = docsearch.similarity_search(query)print(docs[0].page_content)... | https://python.langchain.com/docs/integrations/vectorstores/opensearch |
822522377f3b-4 | you’d like to look up for some similar documents, but you’d also like to receive diverse results, MMR is method you should consider. Maximal marginal relevance optimizes for similarity to query AND diversity among selected documents.query = "What did the president say about Ketanji Brown Jackson"docs = docsearch.ma... | https://python.langchain.com/docs/integrations/vectorstores/opensearch |
576a3cc140f3-0 | StarRocks | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-2 | StarRocks is a next-gen sub-second MPP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics and ad-hoc query.Usually StarRocks is categorized into OLAP, and it has showed excellent performance in ClickBench — a Benchmark For Analytical DBMS. Since it has a super-fast vecto... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-3 | and there is docs directory in it.loader = DirectoryLoader( "./docs", glob="**/*.md", loader_cls=UnstructuredMarkdownLoader)documents = loader.load()Split docs into tokens, and set update_vectordb = True because there are new docs/tokens.# load text splitter and split docs into snippets of texttext_splitter = TokenT... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-4 | |\n | --------------- | ------------------------------------ |\n | main | starrocks/dev-env-centos7:latest |\n | branch-3.0 | starrocks/dev-env-centos7:3.0-latest |\n | branch-2.5 | starrocks/dev-env-centos7:2.5-latest |\n\nPrerequisites\n\nBefore compiling StarRocks, make sure the followin... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-5 | settings(host/port/user/pw/db)settings = StarRocksSettings()settings.port = 41003settings.host = "127.0.0.1"settings.username = "root"settings.password = ""settings.database = "zya"docsearch = gen_starrocks(update_vectordb, embeddings, settings)print(docsearch)update_vectordb = False Inserting data...: | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-6 | 100%|██████████████████████████████████████████████████████████████████████████████████████████████████■| https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-7 | ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆ| | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-8 | 2802/2802 [02:26<00:00, 19.11it/s] zya.langchain @ 127.0.0.1:41003 username: root Table Schema: ---------------------------------------------------------------------------- |name |type |key | --------------------------------------------... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
576a3cc140f3-9 | it​llm = OpenAI()qa = RetrievalQA.from_chain_type( llm=llm, chain_type="stuff", retriever=docsearch.as_retriever())query = "is profile enabled by default? if not, how to enable profile?"resp = qa.run(query)print(resp) No, profile is not enabled by default. To enable profile, set the variable `enable_profile` t... | https://python.langchain.com/docs/integrations/vectorstores/starrocks |
5510abcc3dba-0 | Chroma | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-2 | then query it.# importfrom langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddingsfrom langchain.text_splitter import CharacterTextSplitterfrom langchain.vectorstores import Chromafrom langchain.document_loaders import TextLoader# load the document and split it into chunksloader = TextLoader("../... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-3 | you for your service. 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 wi... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-4 | 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 ... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-5 | can also run the Chroma Server in a Docker container separately, create a Client to connect to it, and then pass that to LangChain. Chroma has the ability to handle multiple Collections of documents, but the LangChain interface expects one, so we need to specify the collection name. The default collection name used by ... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-6 | 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 excellence.Update and Delete​While building toward a real application, you want to go beyond adding data, and a... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-7 | 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 Army ve... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-8 | 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 veteran, Constitutional scholar, and retiring Justice of the United... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-9 | 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.', metadata={'source': '../../../state_of_the_union.txt'}), 1.1972057819366455)Retriever options​This section goes over different options for how to use Chroma as ... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
5510abcc3dba-10 | sourceexample_db.get(where={"source": "some_other_source"}) {'ids': [], 'embeddings': None, 'metadatas': [], 'documents': []}PreviousCassandraNextClarifaiBasic ExampleBasic Example (including saving to disk)Passing a Chroma Client into LangchainBasic Example (using the Docker Container)Update and DeleteUse OpenAI Em... | https://python.langchain.com/docs/integrations/vectorstores/chroma |
f37ff2935787-0 | pg_embedding | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/pgembedding |
f37ff2935787-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/pgembedding |
f37ff2935787-2 | import OpenAIEmbeddingsfrom langchain.text_splitter import CharacterTextSplitterfrom langchain.vectorstores import PGEmbeddingfrom langchain.document_loaders import TextLoaderfrom langchain.docstore.document import Documentos.environ["DATABASE_URL"] = getpass.getpass("Database Url:") Database Url:········loa... | https://python.langchain.com/docs/integrations/vectorstores/pgembedding |
f37ff2935787-3 | index for approximate nearest neighbor (ANN) search to speed up similarity_search_with_score execution time. To create the HNSW index on your vector column, use a create_hnsw_index function:PGEmbedding.create_hnsw_index( max_elements=10000, dims=1536, m=8, ef_construction=16, ef_search=16)The function above is equiv... | https://python.langchain.com/docs/integrations/vectorstores/pgembedding |
f37ff2935787-4 | The following additional index options are supported:efConstruction: Defines the number of nearest neighbors considered during index construction. The default value is 32.efsearch: Defines the number of nearest neighbors considered during index search. The default value is 32.
For information about how you can configur... | https://python.langchain.com/docs/integrations/vectorstores/pgembedding |
638b192b4582-0 | Weaviate | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-2 | (from weaviate-client) (0.20.0) Requirement already satisfied: tqdm<5.0.0,>=4.59.0 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from weaviate-client) (4.65.0) Requirement already satisfied: authlib>=1.1.0 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from weaviate-client) (1.2.0) R... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-3 | requests<2.29.0,>=2.28.0->weaviate-client) (2023.5.7) Requirement already satisfied: decorator>=3.4.0 in /workspaces/langchain/.venv/lib/python3.9/site-packages (from validators<=0.21.0,>=0.18.2->weaviate-client) (5.1.1) Requirement already satisfied: cffi>=1.12 in /workspaces/langchain/.venv/lib/python3.9/site-p... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-4 | = text_splitter.split_documents(documents)embeddings = OpenAIEmbeddings()db = Weaviate.from_documents(docs, embeddings, weaviate_url=WEAVIATE_URL, by_text=False)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 ... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-5 | The returned distance score is cosine distance. Therefore, a lower score is better.docs = db.similarity_search_with_score(query, by_text=False)docs[0] (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 Disc... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-6 | -0.029978717, 0.011555385, 0.0009751897, 0.014675993, -0.02102166, 0.0301354, -0.031754456, 0.013526983, -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, -0.0165823... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-7 | 0.040868197, -0.010909067, -0.03339963, 0.010954766, -0.014689049, -0.021596165, 0.0025607906, -0.01599474, -0.017757427, -0.0041651614, 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, 0.02... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-8 | -0.015185213, 0.010719741, -0.014636821, 0.0001918757, 0.011783881, 0.0036330915, -0.02132197, 0.0031010215, 0.0024334856, -0.0033229894, 0.050086394, 0.0031973163, -0.01115062, 0.004837593, 0.01298512, -0.018645298, -0.02992649, 0.004837593, 0.0067634913, 0.02992649, 0.0145062525, 0.00566018, -0.0017055618, -0.0056667... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-9 | 0.0004859627, 0.018828096, 0.012906778, 0.027941836, 0.027550127, -0.015028529, 0.018606128, 0.03449641, -0.017757427, -0.016020855, -0.012142947, 0.025304336, 0.00821281, -0.0025461016, -0.01902395, -0.635507, -0.030083172, 0.0177052, -0.0104912445, 0.012502013, -0.0010747487, 0.00465806, 0.020825805, -0.006887532, 0.... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-10 | -0.0028251936, 0.035932675, -0.02183119, -0.008611047, 0.025121538, 0.008349908, 0.00035641342, 0.009028868, 0.007631777, -0.01298512, -0.0015350056, 0.009982024, -0.024207553, -0.003332782, 0.006283649, 0.01868447, -0.010732798, -0.00876773, -0.0075273216, -0.016530076, 0.018175248, 0.016020855, -0.00067284, 0.0134616... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-11 | 0.0037767177, 0.018997835, -0.026766712, 0.005026919, 0.015942514, 0.0097469995, -0.0067830766, 0.023828901, -0.01523744, -0.0121494755, 0.00744898, 0.010445545, -0.011006993, -0.0032789223, 0.020394927, -0.017796598, -0.0029116957, 0.02318911, -0.031754456, -0.018188305, -0.031441092, -0.030579336, 0.0011832844, 0.006... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-12 | 0.011894866, -0.03658552, 0.007266183, -0.015172156, -0.02038187, -0.033739112, 0.0018948873, -0.011379116, -0.0020923733, -0.014075373, 0.01970291, 0.0020352493, -0.0075273216, -0.02136114, 0.0027974476, -0.009577259, -0.023815846, 0.024847344, 0.014675993, -0.019454828, -0.013670608, 0.011059221, -0.005438212, 0.0406... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-13 | -0.0045699263, -0.010112594, 0.009237779, 0.008728559, 0.0423828, 0.010909067, 0.04225223, -0.031806685, -0.013696723, -0.025787441, 0.00838255, -0.008715502, 0.006776548, 0.01825359, -0.014480138, -0.014427911, -0.017600743, -0.030004831, 0.0145845935, 0.013762007, -0.013226673, 0.004168425, 0.0047951583, -0.026923396... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-14 | -0.00024318536, -0.007011573, -0.002746852, -0.004298995, 0.007710119, 0.03407859, -0.008898299, -0.008565348, 0.030527107, -0.0003027576, 0.025082368, 0.0405026, 0.03867463, 0.0014117807, -0.024076983, 0.003933401, -0.009812284, 0.00829768, -0.0074293944, 0.0061530797, -0.016647588, -0.008147526, -0.015629148, 0.02055... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-15 | -0.0152504975, -0.0111114485, 0.032355078, 0.0025542623, -0.0030226798, -0.00074261305, 0.030892702, -0.026218321, 0.0062803845, -0.018031623, -0.021504767, -0.012834964, 0.009009283, -0.0029198565, -0.014349569, -0.020434098, 0.009838398, -0.005993132, -0.013618381, -0.031597774, -0.019206747, 0.00086583785, 0.1583544... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-16 | -0.004073763, 0.0032544404, -0.0025983294, -0.020943318, 0.019650683, -0.0074424515, -0.0030977572, 0.0073379963, -0.00012455089, 0.010230106, -0.0007254758, -0.0025052987, -0.009681715, 0.03439196, -0.035123147, -0.0028806855, 0.012828437, 0.00018646932, 0.0066133365, 0.025539361, -0.00055736775, -0.025356563, -0.0045... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-17 | 0.0069789304, -0.010993936, -0.0009066408, 0.0002619547, 0.01727432, -0.008082241, -0.018645298, 0.024507863, 0.0030895968, -0.0014656406, 0.011137563, -0.025513247, -0.022967143, -0.002033617, 0.006887532, 0.016621474, -0.019337315, -0.0030618508, 0.0014697209, -0.011679426, -0.003597185, -0.0049844836, -0.012332273, ... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-18 | -0.005412098, -0.013076518, 0.027080078, 0.012900249, -0.0073379963, -0.015119928, -0.019781252, 0.0062346854, -0.03266844, 0.025278222, -0.022797402, -0.0028415148, 0.021452539, -0.023162996, 0.005170545, -0.022314297, 0.011215905, -0.009838398, -0.00033233972, 0.0019650683, 0.0026326037, 0.009753528, -0.0029639236, 0... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-19 | 0.022914914, -0.0018981516, 0.031545546, -0.01051083, 0.013801178, -0.006296706, -0.00025052988, -0.01795328, -0.026296662, 0.0017659501, 0.021883417, 0.0028937424, 0.00495837, -0.011888337, -0.008950527, -0.012058077, 0.020316586, 0.00804307, -0.0068483613, -0.0038387382, 0.019715967, -0.025069311, -0.000797697, -0.04... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-20 | -0.033843566, 0.00020187242, 0.002650557, -0.0015113399, 0.021570051, -0.008284623, -0.003793039, -0.013422526, -0.009655601, -0.0016614947, -0.02388113, 0.00114901, 0.0034405016, 0.02796795, -0.039118566, 0.0023975791, -0.010608757, 0.00093438674, 0.0017382042, -0.02047327, 0.026283605, -0.020799693, 0.005947433, -0.0... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-21 | 0.016621474, -0.01340947, 0.03219839, 0.032955695, -0.021517823, 0.00372449, -0.045124754, 0.015589978, -0.033582427, -0.01642562, -0.009609901, -0.031179955, 0.0012591778, -0.011176733, -0.018658355, -0.015224383, 0.014884903, 0.013083046, 0.0063587264, -0.008238924, -0.008917884, -0.003877909, 0.022836573, -0.0043740... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-22 | -0.008310737, -0.020786636, -0.022484036, 0.011411758, 0.005826656, 0.012188647, -0.020394927, -0.0013024289, -0.027315103, -0.017000126, -0.0010600596, -0.0019014158, 0.016712872, 0.0012673384, 0.02966535, 0.02911696, -0.03081436, 0.025552418, 0.0014215735, -0.02510848, 0.020277414, -0.02672754, 0.01829276, 0.03381745... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-23 | 0.02442952, 0.012802322, -0.032276735, 0.0029802448, 0.014179829, 0.010321504, 0.0053337566, -0.017156808, -0.010439017, 0.034444187, -0.010393318, -0.006042096, -0.018566957, 0.004517698, -0.011228961, -0.009015812, -0.02089109, 0.022484036, 0.0029867734, -0.029064732, -0.010236635, -0.0006761042, -0.029038617, 0.0043... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-24 | -0.034783665, -0.015028529, 0.0097469995, 0.016281994, 0.0047135525, -0.011294246, 0.011477043, 0.015485522, 0.03426139, 0.014323455, 0.011052692, -0.008362965, -0.037969556, -0.00252162, -0.013709779, -0.0030292084, -0.016569246, -0.013879519, 0.0011849166, -0.0016925049, 0.009753528, 0.008349908, -0.008245452, 0.0330... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-25 | -0.00459604, -0.011999321, -0.028202975, -0.018593071, 0.029743692, 0.021857304, 0.01438874, 0.00014128008, -0.006156344, -0.006691678, 0.01672593, -0.012821908, -0.0024367499, -0.03219839, 0.0058233915, -0.0056405943, -0.009381405, 0.0064044255, 0.013905633, -0.011228961, -0.0013481282, -0.014023146, 0.00016239559, -0... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-26 | 0.0011522742, -0.020773578, -0.011777353, 0.008173639, -0.012325744, -0.021348083, 0.0036461484, 0.0063228197, 0.00028970066, -0.0036200345, -0.021596165, -0.003949722, -0.0006034751, 0.007305354, -0.023424136, 0.004834329, -0.008833014, -0.013435584, 0.0026097542, -0.0012240873, -0.0028349862, -0.01706541, 0.027863493... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-27 | 0.017417947, -0.034835894, -0.009159437, -0.0018573486, -0.0024840813, -0.022444865, 0.0055687814, 0.0037767177, 0.0033915383, 0.0301354, -0.012227817, 0.0021854038, -0.042878963, 0.021517823, -0.010419431, -0.0051183174, 0.01659536, 0.0017333078, -0.00727924, -0.0020026069, -0.0012493852, 0.031441092, 0.0017431005, 0.... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-28 | 0.004971427, -0.017835768, 0.025017083, -0.021792019, 0.013657551, -0.01872364, 0.009100681, -0.0079582, -0.011640254, -0.01093518, -0.0147543335, -0.005000805, 0.02345025, -0.028908048, 0.0104912445, -0.00753385, 0.017561574, -0.012025435, 0.042670052, -0.0041978033, 0.0013056932, -0.009263893, -0.010941708, -0.004471... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-29 | -0.0068940604, -0.0014990991, 0.013305014, -0.007690533, 0.058808424, -0.0016859764, -0.0044622063, -0.0037734534, 0.01578583, -0.0018459238, -0.1196015, -0.0007075225, 0.0030341048, 0.012306159, -0.0068483613, 0.01851473, 0.015315781, 0.031388864, -0.015563863, 0.04776226, -0.008199753, -0.02591801, 0.00546759, -0.004... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-30 | 0.015433294, -0.0056144805, -0.0034927295, -0.00043455104, 0.008611047, 0.025748271, 0.022353467, -0.020747464, -0.015759716, 0.029038617, -0.000377631, -0.028725252, 0.018109964, -0.0016125311, -0.022719061, -0.009133324, -0.033060152, 0.011248547, -0.0019797573, -0.007181313, 0.0018867267, 0.0070899143, 0.004077027, ... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-31 | 0.011170205, -0.005412098, -0.016321165, 0.009929797, 0.004609097, -0.03047488, 0.002688096, -0.07264877, 0.024455635, -0.020930262, -0.015381066, -0.0033148287, 0.027236762, 0.0014501355, -0.014101488, -0.024076983, 0.026218321, -0.009009283, 0.019624569, 0.0020646274, -0.009081096, -0.01565526, -0.003358896, 0.048571... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-32 | 0.0075534354, -0.00061612396, -0.002018928, -0.004432828, -0.032746784, 0.025513247, -0.0025852725, 0.014467081, -0.008617575, -0.019755138, 0.003966043, -0.0033915383, 0.0004088452, -0.025173767, 0.02796795, 0.0023763615, 0.0052358294, 0.017796598, 0.014806561, 0.0150024155, -0.005859298, 0.01259994, 0.021726735, -0.0... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-33 | -0.0019797573, -0.013383356, -0.002706049, 0.0037734534, 0.020394927, -0.00021931567, 0.0041814824, 0.025121538, -0.036246043, -0.019428715, -0.023802789, 0.014845733, 0.015420238, 0.019650683, 0.008186696, 0.025304336, -0.03204171, 0.01774437, 0.0021233836, -0.008434778, -0.0059441687, 0.038335152, 0.022653777, -0.006... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-34 | -0.0038322096, -0.012462842, -0.03655941, 0.0013946436, 0.00025726235, 0.008016956, -0.0042565595, 0.008447835, 0.0038191527, -0.014702106, 0.02196176, 0.0052097156, -0.010869896, 0.0051640165, 0.030840475, -0.041468814, 0.009250836, -0.018997835, 0.020107675, 0.008421721, -0.016373392, 0.004602568, 0.0327729, -0.00812... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-35 | to using similarity search in the retriever object, you can also use mmr.retriever = db.as_retriever(search_type="mmr")retriever.get_relevant_documents(query)[0] 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, pas... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
638b192b4582-36 | = Weaviate.from_texts( texts, embeddings, weaviate_url=WEAVIATE_URL, by_text=False, metadatas=[{"source": f"{i}-pl"} for i in range(len(texts))],)chain = RetrievalQAWithSourcesChain.from_chain_type( OpenAI(temperature=0), chain_type="stuff", retriever=docsearch.as_retriever())chain( {"question": "W... | https://python.langchain.com/docs/integrations/vectorstores/weaviate |
e4fa732f8a3d-0 | Annoy | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/vectorstores/annoy |
e4fa732f8a3d-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesAlibaba Cloud OpenSearchAnalyticDBAnnoyAtlasAwaDBAzure Cognitive SearchCassandraChrom... | https://python.langchain.com/docs/integrations/vectorstores/annoy |
e4fa732f8a3d-2 | metric is angularvector_store = Annoy.from_texts(texts, embeddings_func)# allows for custom annoy parameters, defaults are n_trees=100, n_jobs=-1, metric="angular"vector_store_v2 = Annoy.from_texts( texts, embeddings_func, metric="dot", n_trees=100, n_jobs=1)vector_store.similarity_search("food", k=3) [Document(p... | https://python.langchain.com/docs/integrations/vectorstores/annoy |
e4fa732f8a3d-3 | meet as Democrats Republicans and Independents. But most importantly as Americans. \n\nWith a duty to one another to the American people to the Constitution. \n\nAnd with an unwavering resolve that freedom will always triumph over tyranny. \n\nSix days ago, Russia’s Vladimir Putin sought to shake the foundations of t... | https://python.langchain.com/docs/integrations/vectorstores/annoy |
e4fa732f8a3d-4 | United States is a member along with 29 other nations. \n\nIt matters. American diplomacy matters. American resolve matters.', metadata={'source': '../../../state_of_the_union.txt'}), Document(page_content='Putin’s latest attack on Ukraine was premeditated and unprovoked. \n\nHe rejected repeated efforts at diplo... | https://python.langchain.com/docs/integrations/vectorstores/annoy |
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