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Ai Postgres Store Laravel Package
symfony/ai-postgres-store
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.
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| symfony/ai-manticore-search-store | 0.87 | 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 | |
| benbjurstrom/pgvector-scout | 0.85 | Laravel Scout driver for PostgreSQL pgvector. Store embeddings on your models and run fast vector similarity search directly in Postgres. Supports multiple embedding indexes (OpenAI, Gemini, testing) with publishable config and easy setup. | 74 | 73 | 8 | 1K | 2 | 9.3 | 17.0 | MIT | 9 months ago | |
| martin-georgiev/postgresql-for-doctrine | 0.85 | 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+. | 456 | 460 | 58 | 159K | 9 | 34.5 | 44.3 | 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 | 110 | 0 | 23.0 | 25.6 | MIT | 2 weeks ago | |
| centamiv/vektor | 0.84 | 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. | 36 | 35 | 3 | 7K | 0 | 20.2 | 36.7 | MIT | 1 month 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 | 22.9 | 43.4 | MIT | 2 weeks 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 | 102 | 0 | 22.8 | 27.9 | 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 | |
| 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 | 2 weeks ago | |
| async-aws/s3-vectors | 0.83 | Async AWS S3 Vectors client for PHP. Provides lightweight, non-blocking access to Amazon S3 vector features with request/response models, retries, and signing—ideal for apps that need fast, async integration without the full AWS SDK. | 0 | 0 | 0 | 8K | 0 | 20.3 | 62.7 | MIT | 1 month ago | |
| symfony/ai-open-search-store | 0.83 | 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 | 560 | 0 | 22.8 | 39.9 | MIT | 2 weeks 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 | 0 | 1 | 2 | 0 | 0.0 | 4.2 | — | — | |
| 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 | 2 weeks 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 | 77 | 0 | 21.0 | 30.6 | MIT | 2 weeks 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 | 103 | 0 | 22.0 | 32.8 | MIT | 2 weeks ago | |
| symfony/ai-bundle | 0.83 | — | 31 | 32 | 5 | 135K | 0 | 24.0 | 58.8 | MIT | 2 weeks ago | |
| laraigent/larai-kit | 0.83 | — | 17 | 15 | 3 | 0 | 0 | 17.9 | — | MIT | 3 months 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-qdrant-store | 0.82 | 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 | 6K | 0 | 22.9 | 53.2 | MIT | 2 weeks ago | |
| symfony/ai-redis-store | 0.82 | 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 | 22.7 | 45.7 | MIT | 2 weeks ago |
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