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Ai Elasticsearch Store Laravel Package
symfony/ai-elasticsearch-store
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.
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| symfony/ai-open-search-store | 0.85 | 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 | 532 | 0 | 22.0 | 39.1 | MIT | 1 month ago | |
| symfony/ai-neo4j-store | 0.85 | 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. | 1 | 1 | 0 | 102 | 0 | 22.8 | 27.9 | MIT | 1 month ago | |
| symfony/ai-typesense-store | 0.85 | 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 | 36 | 0 | 21.4 | 25.2 | MIT | 1 month ago | |
| symfony/ai-azure-search-store | 0.85 | 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 | 330 | 0 | 21.0 | 32.7 | MIT | 1 month ago | |
| symfony/ai-maria-db-store | 0.85 | 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 | 22.9 | 43.4 | MIT | 1 month ago | |
| symfony/ai-supabase-store | 0.85 | 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 | 61 | 0 | 21.9 | 21.4 | MIT | 1 month ago | |
| symfony/ai-weaviate-store | 0.84 | Weaviate vector store integration for Symfony AI Store. Connect to a Weaviate instance to index embeddings and run similarity search using Weaviate’s APIs (REST/GraphQL). Part of the Symfony AI ecosystem. | 1 | 1 | 0 | 141 | 0 | 22.8 | 30.1 | MIT | 1 month 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 | 33 | 0 | 21.5 | 20.0 | MIT | 1 month 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 | 124 | 0 | 21.0 | 24.1 | MIT | 1 month 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. | 22 | 22 | 4 | 44K | 0 | 21.8 | 52.7 | MIT | 1 month ago | |
| symfony/ai-redis-store | 0.84 | 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 | 1K | 0 | 22.2 | 45.8 | MIT | 1 month ago | |
| elasticsearch/elasticsearch | 0.83 | Official PHP client for Elasticsearch. Connect to Elastic Cloud or local clusters and access 500+ REST API endpoints. Supports core operations like creating indices, indexing and retrieving documents, searching, and deleting, with documentation and tooling for testing/mocking. | 5,338 | 5,515 | 966 | 3M | 12 | 72.4 | 49.8 | MIT | 1 month 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. | 1 | 1 | 1 | 17 | 0 | 0.0 | 13.5 | — | — | |
| symfony/ai-click-house-store | 0.83 | ClickHouse vector store integration for Symfony AI Store. Store and query embeddings in ClickHouse using distance functions and ANN/vector indexes for fast similarity search. Links to ClickHouse docs plus Symfony AI contributing and issue tracker. | 1 | 1 | 0 | 63 | 0 | 21.0 | 23.7 | MIT | 1 month ago | |
| symfony/ai-milvus-store | 0.83 | Milvus Store adds Milvus vector database support to Symfony AI Store. Connect to a Milvus instance, create collections, insert vectors, run similarity searches, and apply boolean filter expressions using Milvus REST APIs. | 2 | 2 | 0 | 97 | 0 | 22.8 | 26.2 | MIT | 1 month ago | |
| symfony/ai-bundle | 0.83 | — | 32 | 32 | 5 | 135K | 0 | 22.5 | 58.0 | MIT | 1 month ago | |
| symfony/ai-sqlite-store | 0.83 | 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 | 43 | 0 | 20.2 | 26.4 | MIT | 1 month 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 | 22.8 | 47.9 | MIT | 1 month ago | |
| symfony/ai-vektor-store | 0.83 | 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 | 1K | 0 | 20.8 | 48.4 | MIT | 1 month ago | |
| symfony/ai-cache-store | 0.83 | 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 | 403 | 0 | 22.8 | 37.4 | MIT | 1 month ago |
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