centamiv/vektor
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.
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| symfony/ai-vektor-store | 0.85 | 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-sqlite-store | 0.85 | 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 | |
| martin-georgiev/postgresql-for-doctrine | 0.83 | 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 | |
| pgvector/pgvector | 0.82 | 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 | 133K | 0 | 1.4 | 38.6 | MIT | — | |
| probots-io/pinecone-php | 0.82 | Elegant PHP client for the Pinecone API (serverless-ready), powered by Saloon. Authenticate with an API key, manage indexes/collections via control endpoints, and work with vectors via data endpoints by setting an index host at init or later. | 75 | 75 | 24 | 13K | 4 | 5.2 | 34.4 | MIT | 1 year ago | |
| laraigent/larai-kit | 0.82 | — | 17 | 15 | 3 | 0 | 0 | 17.9 | — | MIT | 3 months ago | |
| symfony/ai-surreal-db-store | 0.82 | 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-cloudflare-store | 0.82 | 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-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 | 2 weeks 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 | 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-weaviate-store | 0.81 | 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 | |
| async-aws/s3-vectors | 0.81 | 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-store | 0.81 | 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-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 | 100 | 0 | 22.0 | 32.6 | MIT | 2 weeks ago | |
| benbjurstrom/pgvector-scout | 0.80 | 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 | |
| x-laravel/embedding | 0.80 | 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-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 | |
| symfony/ai-cache-store | 0.80 | 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-open-search-store | 0.79 | 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 |
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