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Ai Cloudflare Store Laravel Package
symfony/ai-cloudflare-store
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.
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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 | 124 | 0 | 21.0 | 24.1 | MIT | 1 month ago | |
| symfony/ai-s3vectors-store | 0.85 | 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 | 54 | 0 | 21.0 | 28.1 | MIT | 1 month ago | |
| symfony/ai-vektor-store | 0.84 | 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-open-search-store | 0.84 | 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-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 | 7K | 0 | 21.7 | 53.9 | MIT | 1 month ago | |
| symfony/ai-store | 0.83 | 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-chroma-db-store | 0.83 | 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 | 55.9 | MIT | 1 month 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 | 61 | 0 | 21.9 | 21.4 | MIT | 1 month ago | |
| symfony/ai-bundle | 0.83 | — | 32 | 32 | 5 | 135K | 0 | 22.5 | 58.0 | MIT | 1 month ago | |
| 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-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-cache-store | 0.82 | 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 | |
| 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 | 43 | 0 | 20.2 | 26.4 | MIT | 1 month ago | |
| 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 | 1 month ago | |
| 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 | 652 | 0 | 22.0 | 40.6 | MIT | 1 month 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. | 36 | 36 | 3 | 6K | 0 | 18.2 | 34.6 | MIT | 2 months 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+. | 457 | 461 | 58 | 158K | 9 | 33.5 | 43.5 | MIT | 2 months ago | |
| symfony/ai-azure-search-store | 0.82 | 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-neo4j-store | 0.81 | 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-pinecone-store | 0.81 | 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 | 133 | 0 | 22.2 | 26.4 | MIT | 1 month ago |
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