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Ai Neo4J Store Laravel Package
symfony/ai-neo4j-store
Neo4j Store integration for Symfony AI Store, enabling use of Neo4j as a vector store with support for vector indexes. Includes links to Neo4j documentation and Symfony AI resources for contributing and reporting issues.
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| symfony/ai-elasticsearch-store | 0.85 | Elasticsearch Store integrates Elasticsearch as a vector store for Symfony AI Store. It supports kNN vector search using dense_vector fields, enabling similarity search and retrieval over embeddings with Elasticsearch-backed indexing and querying. | 4 | 4 | 0 | 199 | 0 | 22.4 | 26.2 | MIT | 3 days ago | |
| symfony/ai-manticore-search-store | 0.84 | ManticoreSearch Store integrates ManticoreSearch as a vector store for Symfony AI Store, enabling KNN/vector similarity search backed by Manticore’s engine. Includes links to Manticore KNN docs plus Symfony AI contribution and issue resources. | 3 | 3 | 0 | 198 | 0 | 22.3 | 27.7 | MIT | 3 days ago | |
| symfony/ai-surreal-db-store | 0.84 | SurrealDB vector store integration for Symfony AI Store. Use SurrealDB’s vector indexing and search (MTREE/HNSW) to store embeddings and perform similarity queries, leveraging SurrealQL vector functions for retrieval in Symfony AI applications. | 1 | 1 | 0 | 158 | 0 | 22.2 | 30.9 | MIT | 3 days ago | |
| symfony/ai-store | 0.84 | Experimental Symfony AI Store component: a low-level abstraction to store and retrieve documents in vector stores. Use bridge packages to connect to providers like pgvector, Pinecone, Redis, Elasticsearch, Qdrant, ChromaDB, and more. | 21 | 21 | 4 | 32K | 0 | 22.8 | 51.3 | MIT | 3 days ago | |
| symfony/ai-cache-store | 0.84 | Symfony AI Cache Store integrates a cache-backed vector store with Symfony AI Store, enabling lightweight storage and retrieval of embeddings using Symfony Cache. Ideal for development, testing, and small deployments where simplicity matters. | 1 | 1 | 0 | 718 | 0 | 22.2 | 41.5 | MIT | 3 days ago | |
| symfony/ai-azure-search-store | 0.84 | Azure AI Search vector store integration for Symfony AI Store. Index and query embeddings using Azure’s vector search capabilities, enabling semantic retrieval for RAG and AI apps. Links to official docs plus Symfony AI contribution and issue resources. | 2 | 2 | 0 | 442 | 0 | 22.4 | 35.3 | MIT | 3 days ago | |
| symfony/ai-open-search-store | 0.84 | OpenSearch vector store integration for Symfony AI Store. Index and query embeddings using OpenSearch knn_vector fields and k‑NN/approximate k‑NN search. Links to OpenSearch docs and contribution resources in the main Symfony AI repo. | 1 | 1 | 0 | 510 | 0 | 22.2 | 39.1 | MIT | 3 days ago | |
| symfony/ai-maria-db-store | 0.83 | MariaDB vector store integration for Symfony AI Store. Requires MariaDB 11.7+ for VECTOR columns, vector indexing, and distance search. Useful for building RAG and similarity search apps backed by MariaDB. | 2 | 2 | 0 | 1K | 0 | 22.2 | 43.0 | MIT | 3 days ago | |
| martin-georgiev/postgresql-for-doctrine | 0.83 | Adds PostgreSQL-specific power to Doctrine DBAL/ORM: rich native types (jsonb, arrays, ranges, network, geometric, etc.) plus DQL functions/operators for JSON and array querying. Supports PostgreSQL 9.4+ and PHP 8.2+. | 453 | 458 | 58 | 178K | 9 | 34.8 | 44.9 | MIT | 3 weeks ago | |
| symfony/ai-supabase-store | 0.83 | Supabase vector store integration for Symfony AI Store using PostgreSQL pgvector. Connect your Symfony AI apps to Supabase vector columns and the match_documents RPC for similarity search, with links to Supabase docs and Symfony AI contribution/resources. | 2 | 2 | 0 | 141 | 0 | 22.2 | 27.3 | MIT | 3 days ago | |
| x-laravel/embedding | 0.83 | Laravel package that auto-generates and stores vector embeddings for Eloquent models via laravel/ai. Supports single or multi-slot embeddings with field-based triggers, queued generation per slot, driver-based similarity search across many databases, and optional reranking. | 0 | 0 | 0 | 13 | 0 | 0.0 | 15.8 | — | — | |
| symfony/ai-redis-store | 0.83 | Redis-backed vector store for Symfony AI Store. Create and query vector indexes in Redis using RediSearch (FT.CREATE/FT.SEARCH) with KNN and DIALECT 2 support. Ideal for semantic search and retrieval workflows powered by Redis vector features. | 1 | 1 | 0 | 291 | 0 | 22.2 | 35.2 | MIT | 3 days ago | |
| symfony/ai-bundle | 0.83 | — | 31 | 32 | 5 | 124K | 0 | 23.2 | 58.2 | MIT | 3 days ago | |
| symfony/ai-pinecone-store | 0.83 | Symfony AI Store integration for Pinecone vector databases. Upsert, query, and delete embeddings, and work with Pinecone serverless indexes using Pinecone’s data/control plane APIs. Links to official Pinecone docs and Symfony AI contribution resources. | 2 | 2 | 0 | 1K | 0 | 22.2 | 41.7 | MIT | 3 days ago | |
| symfony/ai-chroma-db-store | 0.83 | ChromaDB Store integration for Symfony AI Store. Use ChromaDB as a vector store to manage collections and run query/get operations for embeddings and similarity search. Includes links to Chroma docs plus Symfony AI contributing and issue/PR resources. | 0 | 0 | 0 | 3K | 0 | 22.2 | 57.1 | MIT | 3 days ago | |
| symfony/ai-mongo-db-store | 0.83 | Integrates MongoDB Atlas Vector Search ($vectorSearch) as a vector store for Symfony AI Store, enabling storage and similarity search over embeddings using Atlas. Designed for use with MongoDB Atlas and the Symfony AI ecosystem. | 2 | 2 | 0 | 3K | 0 | 22.2 | 47.9 | MIT | 3 days ago | |
| symfony/ai-qdrant-store | 0.83 | Qdrant Store integrates the Qdrant vector database with Symfony AI Store, enabling you to manage collections and points and run unified vector search with filters. Provides a Symfony-friendly bridge to Qdrant for embedding-based retrieval use cases. | 2 | 2 | 0 | 4K | 0 | 22.2 | 50.9 | MIT | 3 days ago | |
| symfony/ai-typesense-store | 0.83 | Typesense Store integrates the Typesense vector database with Symfony AI Store, enabling vector indexing and similarity search via Typesense’s vector search API. Part of the Symfony AI ecosystem, with issues and PRs handled in the main Symfony AI repo. | 0 | 0 | 0 | 141 | 0 | 22.2 | 34.9 | MIT | 3 days ago | |
| symfony/ai-sqlite-store | 0.82 | SQLite vector store integration for Symfony AI Store. Supports full-text search via SQLite FTS5 and computes vector similarity distances in PHP. Compatible with sqlite-vec (vec0) extension for embedding storage and retrieval. | 0 | 0 | 0 | 87 | 0 | 21.0 | 31.6 | MIT | 3 days ago | |
| symfony/ai-vektor-store | 0.82 | Symfony AI Store integration for the Vektor vector database. Use Vektor as a vector store backend in Symfony AI apps to store, index, and query embeddings for retrieval and semantic search. Links to Vektor docs and Symfony AI contribution resources. | 0 | 0 | 0 | 106 | 0 | 21.3 | 32.9 | MIT | 3 days ago |
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