README

The Store component provides a low-level abstraction for storing and retrieving documents in a vector store.

This Component is experimental. Experimental features are not covered by Symfony's Backward Compatibility Promise.

Installation

composer require symfony/ai-store

To use a specific vector store, install the corresponding bridge package:

Store	Package
AWS S3 Vectors	`symfony/ai-s3vectors-store`
Azure AI Search	`symfony/ai-azure-search-store`
Cache	`symfony/ai-cache-store`
ChromaDB	`symfony/ai-chroma-db-store`
ClickHouse	`symfony/ai-click-house-store`
Cloudflare Vectorize	`symfony/ai-cloudflare-store`
Elasticsearch	`symfony/ai-elasticsearch-store`
ManticoreSearch	`symfony/ai-manticore-search-store`
MariaDB	`symfony/ai-maria-db-store`
Meilisearch	`symfony/ai-meilisearch-store`
Milvus	`symfony/ai-milvus-store`
MongoDB Atlas	`symfony/ai-mongo-db-store`
Neo4j	`symfony/ai-neo4j-store`
OpenSearch	`symfony/ai-open-search-store`
Pinecone	`symfony/ai-pinecone-store`
PostgreSQL pgvector	`symfony/ai-postgres-store`
Qdrant	`symfony/ai-qdrant-store`
Redis	`symfony/ai-redis-store`
SQLite	`symfony/ai-sqlite-store`
Supabase	`symfony/ai-supabase-store`
SurrealDB	`symfony/ai-surreal-db-store`
Typesense	`symfony/ai-typesense-store`
Vektor	`symfony/ai-vektor-store`
Weaviate	`symfony/ai-weaviate-store`

This repository is a READ-ONLY sub-tree split. See https://github.com/symfony/ai to create issues or submit pull requests.