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Ai Qdrant Store Laravel Package
symfony/ai-qdrant-store
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.
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| symfony/ai-s3vectors-store | 0.81 | Symfony AI Store integration for AWS S3 Vectors. Store embeddings in S3 vector buckets and run similarity queries via the S3 Vectors API (PutVectors/QueryVectors). Useful for retrieval and semantic search using managed AWS infrastructure. | 0 | 0 | 0 | 76 | 0 | 21.7 | 30.6 | MIT | 1 week ago | |
| symfony/ai-typesense-store | 0.80 | 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 | 102 | 0 | 22.4 | 32.6 | MIT | 1 week ago | |
| symfony/ai-sqlite-store | 0.79 | 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 | 64 | 0 | 21.3 | 29.4 | MIT | 1 week ago | |
| symfony/ai-mongo-db-store | 0.79 | 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 | 22.7 | 47.9 | MIT | 1 week ago | |
| symfony/ai-manticore-search-store | 0.79 | 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 | 22.6 | 26.5 | MIT | 21 hours ago | |
| symfony/ai-cache-store | 0.79 | 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 | 22.4 | 37.4 | MIT | 1 week ago | |
| symfony/ai-click-house-store | 0.78 | 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 | 120 | 0 | 22.6 | 29.0 | MIT | 1 week ago | |
| symfony/ai-meilisearch-store | 0.78 | 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 | 255 | 0 | 22.6 | 34.2 | MIT | 1 week ago | |
| symfony/ai-weaviate-store | 0.78 | 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 | 22.7 | 30.1 | MIT | 1 week ago | |
| symfony/ai-elasticsearch-store | 0.78 | 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 | 22.6 | 25.4 | MIT | 1 week ago | |
| symfony/ai-generic-platform | 0.78 | Generic Symfony AI platform package providing an extensible foundation to integrate AI providers and workflows in Symfony apps. Offers reusable abstractions, configuration-first setup, and a base for building chats, assistants, and other AI-powered features. | 5 | 5 | 2 | 40K | 0 | 22.5 | 62.0 | MIT | 1 week ago | |
| symfony/ai-surreal-db-store | 0.78 | 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 | 22.4 | 27.8 | MIT | 1 week ago | |
| symfony/ai-store | 0.78 | 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 | 23.1 | 52.4 | MIT | 1 week ago | |
| martin-georgiev/postgresql-for-doctrine | 0.78 | 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+. | 455 | 460 | 58 | 159K | 9 | 35.2 | 44.2 | MIT | 3 weeks ago | |
| symfony/ai-bundle | 0.77 | — | 31 | 32 | 5 | 135K | 0 | 23.8 | 58.9 | MIT | 6 days ago | |
| symfony/ai-chroma-db-store | 0.77 | 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 | 22.6 | 57.2 | MIT | 1 week ago | |
| symfony/ai-cloudflare-store | 0.77 | 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 | 22.5 | 28.1 | MIT | 1 week ago | |
| symfony/ai-milvus-store | 0.77 | 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 | 121 | 0 | 22.6 | 26.2 | MIT | 1 week ago | |
| symfony/ai-maria-db-store | 0.77 | 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 | 22.7 | 43.4 | MIT | 1 week ago | |
| symfony/ai-redis-store | 0.77 | 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 | 22.5 | 44.3 | MIT | 1 week ago |
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