Laravel Rag

Laravel RAG

[](https://github.com/moneo/laravel-rag/actions/workflows/ci.yml) [](https://codecov.io/gh/moneo/laravel-rag) [](https://phpstan.org/) [](https://infection.github.io/) [](https://www.php.net/) [](https://laravel.com/) [](LICENSE)

A complete, driver-based RAG (Retrieval-Augmented Generation) pipeline for Laravel. Built on [Prism PHP](https://github.com/prism-php/prism) for provider-agnostic LLM and embedding support.

Features

• Driver-based vector stores — pgvector (production) and sqlite-vec (local dev), swappable via .env
• Blueprint macros — $table->vector(), $table->vectorIndex() feel native to Laravel
• Model traits — HasVectorSearch and AutoEmbeds for zero-boilerplate integration
• Embedding cache — SHA-256 deduplication reduces API costs by 60-80%
• Chunking strategies — Character, Sentence, Markdown, and Semantic chunkers
• Fluent RAG pipeline — Rag::from(Document::class)->ask('question')
• Streaming SSE — Real-time response streaming via Server-Sent Events
• Agentic RAG — Iterative retrieval with sufficiency evaluation
• Hybrid search — Reciprocal Rank Fusion (RRF) combining semantic + full-text
• LLM re-ranking — Score and re-order chunks by relevance
• Conversation memory — Threaded conversations with automatic context summarization
• RAG Evals — First Laravel-native evaluation framework (Faithfulness, Relevancy, Context Recall)
• MCP Server — Expose your