Vector Stores Overview
Vector stores are essential components in modern AI and machine learning workflows, particularly for applications involving natural language processing, semantic search, and recommendation systems. This category includes various vector store implementations, each with its unique features and use cases.
Available Components
Astra Vector Store
Suitable for serverless vector database applications using DataStax Astra DB
Chroma Vector Store
Suitable for open-source embedding database needs with efficient querying capabilities
Doc Store Vector Stores
Enables efficient document search and retrieval from a Document Store
Elasticsearch Vector Store
Provides distributed search and analytics with advanced text and vector search capabilities
Faiss Vector Store
Enables efficient similarity search and clustering of dense vectors at scale
In-Memory Vector Store
Provides fast in-memory operations for small to medium-sized datasets
Meilisearch
Combines keyword and semantic search for fast and relevant search results
MongoDB Atlas Vector Store
Offers managed, cloud-based vector database capabilities in MongoDB environments
OpenSearch Vector Store
Enables large-scale distributed search and analytics with real-time capabilities
Pinecone Vector Store
Offers managed vector database capabilities for large-scale similarity search
Postgres Vector Store
Integrates vector search capabilities with PostgreSQL using pgvector extension
Qdrant Vector Store
Provides scalable vector search with efficient storage and retrieval of embeddings
Redis Vector Store
Enables fast, in-memory vector similarity searches with low latency
SingleStore Vector Store
Provides local vector store implementation using LlamaIndex for quick setup
Supabase Vector Store
Offers managed PostgreSQL database with vector capabilities using pgvector
Upstash Vector Store
Enables fast vector operations in serverless environments
Vectara Vector Store
Provides LLM-powered search-as-a-service with advanced retrieval options
Weaviate Vector Store
Enables scalable vector search for semantic search and recommendations
Zep Collection - Cloud
Provides cloud-based vector store capabilities for scalable LLM applications
Zep Collection - Open Source
Offers open-source vector store implementation for LLM applications
These vector store components cater to a wide range of use cases, from local development to large-scale production environments, offering various options for storing, indexing, and retrieving vector embeddings efficiently.