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Ai Typesense Store Laravel Package
symfony/ai-typesense-store
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.
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| symfony/ai-cloudflare-store | 0.90 | 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-pinecone-store | 0.89 | 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-click-house-store | 0.89 | 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 | |
| symfony/ai-postgres-store | 0.89 | 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-s3vectors-store | 0.89 | 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-supabase-store | 0.89 | 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-open-search-store | 0.89 | OpenSearch vector store integration for Symfony AI Store, providing k-NN vector search through OpenSearch's knn_vector field type and approximate k-NN query DSL. | 1 | 1 | 0 | 532 | 0 | 23.0 | 39.3 | MIT | 1 week ago | |
| symfony/ai-maria-db-store | 0.89 | 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-vektor-store | 0.88 | 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-sqlite-store | 0.88 | 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-ai-ml-api-platform | 0.88 | Symfony AI bridge for AiML API Platform, providing access to AiML API’s OpenAI-compatible text/LLM models. Includes links to authentication quickstart and API docs, and points to the main Symfony AI repo for issues and contributions. | 1 | 1 | 0 | 184 | 0 | 22.8 | 31.9 | MIT | 1 week ago | |
| symfony/ai-weaviate-store | 0.88 | 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 | |
| symfony/ai-transformers-php-platform | 0.88 | Symfony AI platform bridge for TransformersPHP, letting PHP applications run local transformer models through the Symfony AI abstraction layer. Includes links to TransformersPHP docs and source. | 1 | 1 | 0 | 103 | 0 | 22.8 | 27.8 | MIT | 1 week ago | |
| symfony/ai-bundle | 0.88 | Symfony AI Bundle integrates the Symfony AI components into your Symfony application, providing ready-made configuration and service wiring for building AI-powered features. It is experimental and not covered by Symfony's backward compatibility promise. | 33 | 32 | 5 | 135K | 0 | 24.2 | 58.4 | MIT | 1 week ago | |
| symfony/ai-type-safe-platform | 0.88 | Symfony AI Type-Safe Platform adds type safety to AI-powered Symfony apps by mapping model responses to typed PHP objects. It integrates with Symfony AI and the Serializer to validate structured outputs, reducing brittle array handling and making LLM integrations more predictable. | 5 | 4 | 0 | 6K | 0 | 19.8 | 48.8 | MIT | 1 week ago | |
| symfony/ai-mongo-db-store | 0.88 | 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-meilisearch-store | 0.88 | Meilisearch vector store integration for Symfony AI Store, enabling hybrid and vector search with semanticRatio support through Meilisearch's AI-powered search capabilities. | 1 | 1 | 0 | 652 | 0 | 23.0 | 40.8 | MIT | 1 week ago | |
| symfony/ai-manticore-search-store | 0.88 | ManticoreSearch Store provides a vector store integration for Symfony AI Store, enabling applications to use ManticoreSearch's KNN search for similarity retrieval. Part of the Symfony AI ecosystem. | 3 | 3 | 0 | 146 | 0 | 23.0 | 25.5 | MIT | 1 week ago | |
| symfony/ai-redis-store | 0.88 | Redis vector store integration for Symfony AI Store. Index and query embeddings with Redis Search, using FT.CREATE and FT.SEARCH commands, KNN vector search, and DIALECT 2 querying for fast similarity lookups. | 1 | 1 | 0 | 1K | 0 | 22.9 | 46.0 | MIT | 1 week ago | |
| symfony/ai-elasticsearch-store | 0.88 | Elasticsearch vector store integration for Symfony AI Store, adding kNN search and dense_vector support so your Symfony AI apps can store and query embeddings directly in Elasticsearch. | 4 | 4 | 0 | 386 | 0 | 23.1 | 30.7 | MIT | 1 week ago |
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