Self-querying retrievers
Learn about how the self-querying retriever workshere.
📄️ Deep Lake
Deep Lake is a multimodal database for building AI applications
📄️ Astra DB
DataStax Astra DB is a serverless
📄️ Chroma
Chroma is a vector database for building AI applications with embeddings.
📄️ DashVector
DashVector is a fully managed vector DB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements.
📄️ Databricks Vector Search
Databricks Vector Search is a serverless similarity search engine that allows you to store a vector representation of your data, including metadata, in a vector database. With Vector Search, you can create auto-updating vector search indexes from Delta tables managed by Unity Catalog and query them with a simple API to return the most similar vectors.
📄️ DingoDB
DingoDB is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases, and can store data of any type and size (Key-Value, PDF, audio, video, etc.). It has real-time low-latency processing capabilities to achieve rapid insight and response, and can efficiently conduct instant analysis and process multi-modal data.
📄️ Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine.
📄️ SAP HANA Cloud Vector Engine
For more information on how to setup the SAP HANA vetor store, take a look at the documentation.
📄️ Milvus
Milvus is a database that stores, indexes, and manages massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
📄️ MongoDB Atlas
MongoDB Atlas is a document database that can be
📄️ MyScale
MyScale is an integrated vector database. You can access your database in SQL and also from here, LangChain.
📄️ Neo4j
Neo4j is a graph database that stores nodes and relationships, that also supports native vector search.
📄️ OpenSearch
OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. OpenSearch is a distributed search and analytics engine based on Apache Lucene.
📄️ PGVector (Postgres)
PGVector is a vector similarity search package for Postgres data base.
📄️ Pinecone
Pinecone is a vector database with broad functionality.
📄️ Qdrant
Qdrant (read: quadrant) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support.
📄️ Redis
Redis is an open-source key-value store that can be used as a cache, message broker, database, vector database and more.
📄️ Supabase (Postgres)
Supabase is an open-source Firebase alternative.
📄️ Tencent Cloud VectorDB
Tencent Cloud VectorDB is a fully managed, self-developed, enterprise-level distributed database service designed for storing, retrieving, and analyzing multi-dimensional vector data.
📄️ Timescale Vector (Postgres)
Timescale Vector is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in PostgreSQL.
📄️ Vectara self-querying
Vectara is the trusted AI Assistant and Agent platform which focuses on enterprise readiness for mission-critical applications.
📄️ Weaviate
Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from