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S3 Vectors Laravel Package
async-aws/s3-vectors
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.
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| symfony/ai-s3vectors-store | 0.84 | Integrates AWS S3 Vectors with Symfony AI Store, letting you store and query vector embeddings in S3 vector buckets. Includes setup for PutVectors and QueryVectors, with links to Amazon's official S3 Vectors documentation and API references. | 0 | 0 | 0 | 341 | 0 | 22.2 | 41.1 | MIT | 1 week ago | |
| symfony/ai-store | 0.82 | Symfony AI Store provides a low-level abstraction for storing and retrieving documents in vector stores, with bridge packages for popular backends. Experimental and not covered by Symfony’s BC promise. | 24 | 24 | 4 | 77K | 0 | 23.4 | 56.5 | MIT | 1 week ago | |
| centamiv/vektor | 0.81 | Vektor is a pure-PHP, file-based embedded vector database with zero-RAM overhead. It uses HNSW for fast approximate nearest neighbor search and binary storage. No extensions needed—just PHP 8.2+. Use it in code or as an HTTP API server, with built-in file locking and cosine similarity. | 38 | 38 | 3 | 13K | 0 | 14.3 | 39.1 | MIT | 4 months ago | |
| symfony/ai-cloudflare-store | 0.81 | Cloudflare Vectorize vector store integration for Symfony AI Store, enabling upsert, query, and delete-by-ID operations through Cloudflare's Vectorize API. | 1 | 1 | 0 | 158 | 0 | 23.1 | 30.9 | MIT | 1 week ago | |
| symfony/ai-supabase-store | 0.81 | Supabase vector store integration for Symfony AI Store, backed by pgvector. Store and search embeddings through Supabase using its vector columns and match_documents RPC. | 2 | 2 | 0 | 160 | 0 | 23.1 | 28.2 | MIT | 1 week ago | |
| symfony/ai-postgres-store | 0.81 | PostgreSQL pgvector vector store integration for Symfony AI Store, with support for vector and halfvec types, distance operators, indexes, and full-text search. | 2 | 2 | 1 | 16K | 0 | 23.1 | 60.4 | MIT | 1 week ago | |
| symfony/ai-sqlite-store | 0.80 | 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 | 845 | 0 | 21.6 | 47.4 | MIT | 1 week ago | |
| symfony/ai-surreal-db-store | 0.80 | SurrealDB vector store integration for Symfony AI Store, enabling similarity search over embeddings using SurrealQL vector functions and MTREE/HNSW indexes. | 1 | 1 | 0 | 185 | 0 | 22.8 | 31.9 | MIT | 1 week ago | |
| symfony/ai-vektor-store | 0.80 | Vektor vector store integration for Symfony AI Store, connecting your Symfony AI applications to the Vektor vector database for storage and retrieval. | 0 | 0 | 0 | 1K | 0 | 22.1 | 48.8 | MIT | 1 week ago | |
| symfony/ai-click-house-store | 0.80 | ClickHouse vector store integration for Symfony AI Store, letting Symfony AI applications store embeddings and run semantic search using ClickHouse ANN indexes and distance functions. Install with Composer to add a fast, scalable vector database backend. | 1 | 1 | 0 | 169 | 0 | 23.1 | 31.3 | MIT | 1 week ago | |
| martin-georgiev/postgresql-for-doctrine | 0.80 | Enhances Doctrine ORM/DBAL with native PostgreSQL data types and DQL functions: JSONB, arrays, ranges, network, geometric and bit strings, plus operators such as CONTAINS and JSON_GET_FIELD for flexible querying. Supports PostgreSQL 9.4+ and PHP 8.2+. | 463 | 461 | 58 | 158K | 9 | 36.1 | 44.2 | MIT | 1 week ago | |
| async-aws/s3 | 0.80 | AsyncAws S3 is a lightweight, async-friendly PHP client for Amazon S3. Install via Composer and interact with S3 using the AsyncAws ecosystem, with CI/BC checks and full docs available at async-aws.com. | 61 | 62 | 2 | 967K | 0 | 28.8 | 64.0 | MIT | 1 month ago | |
| async-aws/simple-s3 | 0.80 | AsyncAws Simple S3 is a thin convenience layer on top of the AsyncAws S3 client that makes common S3 operations easier in PHP. Install it via Composer with async-aws/simple-s3 and see the AsyncAws docs for integration details and usage examples. | 20 | 20 | 0 | 157K | 0 | 20.9 | 61.5 | MIT | 1 month ago | |
| symfony/ai-maria-db-store | 0.79 | MariaDB vector store integration for Symfony AI Store, enabling vector search and RAG with MariaDB's native VECTOR type, VECTOR INDEX, and distance functions. Requires MariaDB 11.7 or later. | 2 | 2 | 0 | 1K | 0 | 23.0 | 42.1 | MIT | 1 week ago | |
| symfony/ai-typesense-store | 0.79 | Typesense vector store integration for Symfony AI Store, adding a fast, typo-tolerant search backend for storing and querying embeddings. Supports vector search via the Typesense API within your Symfony AI applications. | 0 | 0 | 0 | 36 | 0 | 23.1 | 25.4 | MIT | 1 week ago | |
| symfony/ai-mongo-db-store | 0.79 | MongoDB Atlas vector store integration for Symfony AI Store. Store and search embeddings using Atlas Vector Search ($vectorSearch), so you can add semantic search and RAG to Symfony apps with a managed, scalable database backend. | 2 | 2 | 0 | 688 | 0 | 23.1 | 38.3 | MIT | 1 week ago | |
| symfony/ai-weaviate-store | 0.79 | Weaviate vector store integration for Symfony AI Store, with links to the REST API, GraphQL Get, and nearVector similarity search docs. Part of the Symfony AI monorepo for reporting issues and contributions. | 1 | 1 | 0 | 161 | 0 | 23.1 | 31.0 | MIT | 1 week ago | |
| pgvector/pgvector | 0.79 | pgvector support for PHP with integrations for Laravel, Doctrine, and native PgSql. Store and query vector embeddings, cast vectors in models, run nearest-neighbor searches with multiple distance metrics, and create HNSW/IVFFlat indexes for fast similarity search. | 23,601 | 197 | 1,384 | 262K | 9 | 43.3 | 20.5 | NOASSERTION | — | |
| symfony/ai-pinecone-store | 0.79 | Pinecone vector store integration for Symfony AI Store, enabling upsert, query, and delete of vectors plus serverless index creation through the Pinecone API. | 2 | 2 | 0 | 133 | 0 | 22.8 | 26.8 | MIT | 1 week ago | |
| symfony/ai-neo4j-store | 0.79 | Neo4j vector store integration for Symfony AI Store. Persist embeddings in Neo4j and run vector similarity searches through its native vector indexes, giving Symfony AI applications a graph-database-backed store. | 1 | 1 | 0 | 189 | 0 | 22.8 | 32.1 | MIT | 1 week ago |
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