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Ai Cache Store Laravel Package
symfony/ai-cache-store
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.
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| symfony/ai-redis-store | 0.85 | 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 | 22.2 | 45.8 | MIT | 1 month ago | |
| symfony/ai-maria-db-store | 0.84 | 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-surreal-db-store | 0.84 | 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 | 33 | 0 | 21.5 | 20.0 | MIT | 1 month ago | |
| symfony/ai-weaviate-store | 0.84 | 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 | 1 month ago | |
| symfony/ai-sqlite-store | 0.83 | 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-cache-message-store | 0.83 | PSR-6 cache-backed message store for Symfony AI Chat. Persist and retrieve chat messages using any PSR-6 cache pool for lightweight conversation history across requests. Part of the Symfony AI ecosystem. | 1 | 1 | 0 | 2K | 0 | 21.8 | 49.7 | MIT | 1 month ago | |
| symfony/ai-milvus-store | 0.83 | 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 | 97 | 0 | 22.8 | 26.2 | MIT | 1 month ago | |
| symfony/ai-pinecone-store | 0.83 | 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 | |
| symfony/ai-postgres-store | 0.83 | 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 | 9K | 0 | 21.9 | 56.1 | MIT | 1 month ago | |
| symfony/ai-open-search-store | 0.83 | 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-neo4j-store | 0.82 | 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-elasticsearch-store | 0.82 | 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 | 166 | 0 | 21.8 | 24.7 | MIT | 1 month 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 | 58 | 0 | 21.0 | 23.7 | MIT | 1 month ago | |
| symfony/ai-manticore-search-store | 0.82 | 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-click-house-store | 0.82 | 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-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 | 44K | 0 | 21.8 | 52.7 | MIT | 1 month ago | |
| nette/caching | 0.82 | Nette Caching is a lightweight PHP caching library with a simple API and multiple storage backends (file, memory, etc.). Supports cache expiration, dependencies, tags, and automatic invalidation to speed up applications with minimal setup. | 438 | 442 | 42 | 208K | 14 | 32.1 | 48.5 | NOASSERTION | 4 months ago | |
| symfony/ai-mongo-db-store | 0.82 | 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-supabase-store | 0.82 | 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 | |
| boson/cache-bundle | 0.81 | — | 0 | 0 | 0 | 0 | 0 | 0.0 | — | — | — |
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