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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 | 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 | 100 | 0 | 22.0 | 32.6 | MIT | 2 weeks 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 | 42K | 0 | 23.4 | 52.5 | MIT | 2 weeks ago | |
| centamiv/vektor | 0.81 | 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-cloudflare-store | 0.81 | 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 | 22.9 | 28.1 | MIT | 2 weeks ago | |
| symfony/ai-supabase-store | 0.81 | 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 | |
| symfony/ai-postgres-store | 0.81 | 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 | 7K | 0 | 23.0 | 55.2 | MIT | 2 weeks 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 | 77 | 0 | 21.0 | 30.6 | MIT | 2 weeks ago | |
| symfony/ai-surreal-db-store | 0.80 | 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-vektor-store | 0.80 | 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-click-house-store | 0.80 | 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 | 97 | 0 | 22.8 | 27.6 | MIT | 2 weeks ago | |
| martin-georgiev/postgresql-for-doctrine | 0.80 | 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 | |
| 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 | 766K | 0 | 30.4 | 64.9 | MIT | 1 week ago | |
| async-aws/simple-s3 | 0.80 | AsyncAws Simple S3 is a lightweight wrapper around the AsyncAws S3 client that simplifies common S3 tasks and integrations. Install via Composer and use a higher-level API for working with buckets and objects without the boilerplate of raw S3 calls. | 20 | 20 | 0 | 91K | 0 | 21.8 | 58.3 | MIT | 1 month ago | |
| symfony/ai-maria-db-store | 0.79 | 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-typesense-store | 0.79 | 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 | 99 | 0 | 22.5 | 32.2 | MIT | 2 weeks 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 | 22.8 | 47.9 | MIT | 2 weeks ago | |
| symfony/ai-weaviate-store | 0.79 | 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 | 22.8 | 30.1 | MIT | 2 weeks 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. | 198 | 198 | 14 | 146K | 0 | 1.4 | 38.6 | MIT | — | |
| symfony/ai-pinecone-store | 0.79 | 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 | 2 weeks ago | |
| symfony/ai-neo4j-store | 0.79 | 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 |
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