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Embedding Laravel Package

x-laravel/embedding

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.

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symfony/ai-sqlite-store 0.84 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
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symfony/ai-elasticsearch-store 0.83 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
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symfony/ai-weaviate-store 0.83 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
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symfony/ai-meilisearch-store 0.83 Meilisearch Store integrates Meilisearch as a vector store for Symfony AI Store, enabling hybrid and vector/semantic search with semanticRatio support. Includes links to Meilisearch docs and points to the main Symfony AI repo for issues and PRs. 1 1 0 652 0 22.0 40.6 MIT 1 month ago
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symfony/ai-open-search-store 0.82 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
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symfony/ai-azure-search-store 0.81 Azure AI Search vector store integration for Symfony AI Store. Index and query embeddings using Azure’s vector search capabilities, enabling semantic retrieval for RAG and AI apps. Links to official docs plus Symfony AI contribution and issue resources. 2 2 0 330 0 21.0 32.7 MIT 1 month ago
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symfony/ai-generic-platform 0.81 Generic Symfony AI platform package providing an extensible foundation to integrate AI providers and workflows in Symfony apps. Offers reusable abstractions, configuration-first setup, and a base for building chats, assistants, and other AI-powered features. 5 5 2 48K 0 21.9 62.9 MIT 1 month ago
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symfony/ai-chroma-db-store 0.81 ChromaDB Store integration for Symfony AI Store. Use ChromaDB as a vector store to manage collections and run query/get operations for embeddings and similarity search. Includes links to Chroma docs plus Symfony AI contributing and issue/PR resources. 0 0 0 3K 0 22.2 55.9 MIT 1 month ago
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symfony/ai-pinecone-store 0.81 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
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symfony/ai-hugging-face-platform 0.81 Symfony AI HuggingFace bridge for the HuggingFace Inference API and multiple providers (Cerebras, Cohere, Groq, Together, etc.). Invoke thousands of pretrained models across 40+ tasks—chat, text generation, vision, audio, embeddings—with model discovery, flexible I/O, and typed results. 3 3 0 1K 0 22.4 39.6 MIT 1 month ago
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symfony/ai-cache-store 0.81 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 1 month ago
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symfony/ai-manticore-search-store 0.81 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
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symfony/ai-typesense-store 0.80 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 36 0 21.4 25.2 MIT 1 month ago
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symfony/ai-vertex-ai-platform 0.80 Bridge for using Google Vertex AI Platform with Symfony AI. Supports Gemini inference and text embeddings on Vertex with links to task types and authentication (ADC). Includes test fixtures with licensed media and points to Symfony AI repo for issues/PRs. 1 1 0 28K 0 21.7 64.4 MIT 1 month ago
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symfony/ai-postgres-store 0.80 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
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embedly/embedly-php 0.80 97 98 29 67K 1 1.6 38.1 MIT
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symfony/ai-voyage-platform 0.79 Symfony AI bridge for Voyage AI: integrate Voyage text and multimodal embeddings into Symfony apps. Provides a platform connector to call Voyage APIs and use embedding models for semantic search, RAG, and vector workflows. 1 1 0 795 0 22.8 42.8 MIT 1 month ago
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centamiv/vektor 0.79 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 36 3 6K 0 18.2 34.6 MIT 2 months ago
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symfony/ai-vektor-store 0.79 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 1K 0 20.8 48.4 MIT 1 month ago
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martin-georgiev/postgresql-for-doctrine 0.78 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+. 457 461 58 158K 9 33.5 43.5 MIT 2 months ago
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