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Ai Surreal Db Store Laravel Package
symfony/ai-surreal-db-store
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.
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| symfony/ai-weaviate-store | 0.85 | 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 | 22.2 | 30.1 | MIT | 3 days ago | |
| x-laravel/embedding | 0.85 | 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-manticore-search-store | 0.85 | 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-store | 0.85 | 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-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 | |
| 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-neo4j-store | 0.83 | 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 | 141 | 0 | 22.2 | 30.1 | MIT | 3 days ago | |
| symfony/ai-surreal-db-message-store | 0.83 | SurrealDB Message Store integration for Symfony AI Chat. Persist and retrieve chat messages using SurrealDB, with guidance for HTTP-based SurrealDB setups. Part of the Symfony AI ecosystem; contribute or report issues in the main symfony/ai repo. | 2 | 2 | 0 | 150 | 0 | 22.4 | 27.7 | MIT | 3 days 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 | |
| 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 | 199 | 0 | 22.4 | 26.2 | MIT | 3 days ago | |
| symfony/ai-chroma-db-store | 0.82 | 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-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 | 5K | 0 | 22.3 | 52.8 | 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 | |
| martin-georgiev/postgresql-for-doctrine | 0.82 | 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-cloudflare-store | 0.82 | 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 | 123 | 0 | 22.3 | 29.2 | MIT | 3 days ago | |
| centamiv/vektor | 0.82 | Laravel package for integrating Vektor telephony/CRM features: manage calls, events, and related data via a clean PHP API. Provides simple configuration, service classes, and helpers to streamline connecting your app to Vektor workflows. | 34 | 34 | 4 | 4K | 0 | 14.6 | 32.5 | MIT | 4 months ago | |
| symfony/ai-pinecone-store | 0.82 | 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-open-search-store | 0.82 | 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-milvus-store | 0.82 | 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 | 142 | 0 | 22.2 | 27.3 | MIT | 3 days ago |
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