Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversAmazon KendraArcee RetrieverArxivAzure Cognitive SearchBM25ChaindeskChatGPT PluginCohere RerankerDocArrayElasticSearch BM25Google Cloud Enterprise SearchGoogle DriveGoogle Vertex AI SearchKay.aikNNLOTR (Merger Retriever)MetalPinecone Hybrid SearchPubMedRePhraseQuerySEC filingSelf-querying retrieverDeep LakeChromaDashVectorElasticsearchMilvusMyScaleOpenSearchPineconeQdrantRedisSupabaseTimescale Vector (Postgres) self-queryingVectaraWeaviateSVMTavily Search APITF-IDFVespaWeaviate Hybrid SearchWikipediayou-retrieverZepToolsAgents and toolkitsMemoryCallbacksChat loadersComponentsRetrieversSelf-querying retrieverTimescale Vector (Postgres) self-queryingOn this pageTimescale Vector (Postgres) self-queryingTimescale Vector is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in PostgreSQL.This notebook shows how to use the Postgres vector database (TimescaleVector) to perform self-querying. In the notebook we'll demo the SelfQueryRetriever wrapped around a TimescaleVector vector store. What is Timescale Vector?‚ÄãTimescale Vector is PostgreSQL++ for AI applications.Timescale Vector enables you to efficiently store and query millions of vector embeddings in PostgreSQL.Enhances pgvector with faster and more accurate similarity search on 1B+ vectors via DiskANN inspired indexing algorithm.Enables fast time-based vector search via automatic time-based partitioning and indexing.Provides a familiar SQL interface for querying vector embeddings and relational data.Timescale Vector is cloud PostgreSQL for AI that scales with you from POC to production:Simplifies operations by enabling you to store relational metadata, vector embeddings, and time-series
Timescale Vector is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in PostgreSQL.
Timescale Vector is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in PostgreSQL. ->: Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversAmazon KendraArcee RetrieverArxivAzure Cognitive SearchBM25ChaindeskChatGPT PluginCohere RerankerDocArrayElasticSearch BM25Google Cloud Enterprise SearchGoogle DriveGoogle Vertex AI SearchKay.aikNNLOTR (Merger Retriever)MetalPinecone Hybrid SearchPubMedRePhraseQuerySEC filingSelf-querying retrieverDeep LakeChromaDashVectorElasticsearchMilvusMyScaleOpenSearchPineconeQdrantRedisSupabaseTimescale Vector (Postgres) self-queryingVectaraWeaviateSVMTavily Search APITF-IDFVespaWeaviate Hybrid SearchWikipediayou-retrieverZepToolsAgents and toolkitsMemoryCallbacksChat loadersComponentsRetrieversSelf-querying retrieverTimescale Vector (Postgres) self-queryingOn this pageTimescale Vector (Postgres) self-queryingTimescale Vector is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in PostgreSQL.This notebook shows how to use the Postgres vector database (TimescaleVector) to perform self-querying. In the notebook we'll demo the SelfQueryRetriever wrapped around a TimescaleVector vector store. What is Timescale Vector?‚ÄãTimescale Vector is PostgreSQL++ for AI applications.Timescale Vector enables you to efficiently store and query millions of vector embeddings in PostgreSQL.Enhances pgvector with faster and more accurate similarity search on 1B+ vectors via DiskANN inspired indexing algorithm.Enables fast time-based vector search via automatic time-based partitioning and indexing.Provides a familiar SQL interface for querying vector embeddings and relational data.Timescale Vector is cloud PostgreSQL for AI that scales with you from POC to production:Simplifies operations by enabling you to store relational metadata, vector embeddings, and time-series