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Ai Open Search Store Laravel Package
symfony/ai-open-search-store
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.
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| symfony/ai-bundle | 0.86 | — | 31 | 32 | 5 | 135K | 0 | 24.0 | 58.8 | MIT | 2 weeks ago | |
| symfony/ai-chroma-db-store | 0.85 | 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 | 22.4 | 55.4 | MIT | 2 weeks 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 | 346 | 0 | 22.9 | 34.5 | MIT | 2 weeks ago | |
| symfony/ai-elasticsearch-store | 0.83 | 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 | 179 | 0 | 22.9 | 25.4 | MIT | 2 weeks ago | |
| aternovtsii/search-bundle | 0.83 | Laravel search bundle that adds a reusable, configurable search layer for your app. Provides easy integration for searching across multiple models/resources with a simple API, sensible defaults, and room to extend matching, filtering, and result formatting. | 0 | 0 | 2 | 4 | 0 | 25.6 | 11.3 | — | 6 days ago | |
| symfony/ai-manticore-search-store | 0.83 | 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 | 167 | 0 | 23.0 | 26.5 | MIT | 2 weeks ago | |
| symfony/ai-surreal-db-store | 0.83 | 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 | 102 | 0 | 22.8 | 27.8 | MIT | 2 weeks ago | |
| x-laravel/embedding | 0.82 | 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 | 0 | 1 | 2 | 0 | 0.0 | 4.2 | — | — | |
| symfony/ai-meilisearch-store | 0.82 | Meilisearch Store integrates Meilisearch as a vector store for Symfony AI Store, enabling hybrid and vector/semantic search with semanticRatio support. Includes links to Meilisearch docs and points to the main Symfony AI repo for issues and PRs. | 1 | 1 | 0 | 559 | 0 | 22.8 | 38.3 | MIT | 2 weeks ago | |
| symfony/ai-postgres-store | 0.82 | Symfony AI Store integration for PostgreSQL using pgvector. Store and query embeddings with Postgres vector/halfvec types, distance operators, and indexing options. Links to pgvector docs plus Symfony AI contribution and issue resources. | 2 | 2 | 1 | 7K | 0 | 23.0 | 55.2 | MIT | 2 weeks ago | |
| symfony/ai-store | 0.82 | 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 | 40K | 0 | 23.4 | 52.5 | MIT | 2 weeks ago | |
| symfony/ai-neo4j-store | 0.82 | 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 | 2 weeks ago | |
| demontpx/rigid-search-bundle | 0.82 | — | 1 | 1 | 0 | 0 | 0 | 0.0 | — | MIT | — | |
| symfony/ai-maria-db-store | 0.82 | 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 | 2 weeks 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 | 77 | 0 | 21.0 | 30.6 | MIT | 2 weeks ago | |
| symfony/ai-typesense-store | 0.82 | 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 | 97 | 0 | 22.5 | 32.2 | MIT | 2 weeks ago | |
| symfony/ai-weaviate-store | 0.82 | 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 | 2 weeks ago | |
| atoolo/graphql-search-bundle | 0.81 | — | 2 | 2 | 0 | 277 | 1 | 20.9 | 31.8 | MIT | 2 months ago | |
| symfony/ai-cloudflare-store | 0.81 | Integrates Cloudflare Vectorize as a vector store for Symfony AI Store. Supports indexing and querying embeddings plus upserts and deletions via the Vectorize APIs, making it easy to connect Symfony AI apps to Cloudflare’s managed vector database. | 1 | 1 | 0 | 106 | 0 | 22.9 | 28.1 | MIT | 2 weeks ago | |
| symfony/ai-mongo-db-store | 0.81 | 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 | 2 weeks ago |
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