Real Geeks UI Kit.
A rag component for Convex.
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
Abstract RAG (Retrieval-Augmented Generation) interfaces and shared implementations
Simple RAG Chat using Upstash
AgentBrains RAG node for n8n
RAG Chat Bot Web Component SDK
Standalone RAG ingestion, sync, retrieval, evaluation, clients, and framework adapters extracted from AbsoluteJS
Retrieval-Augmented Generation (RAG) and vector search for HazelJS framework
The OpenAI backend module for the @roadiehq/rag-ai plugin.
LanceDB implementation of RAG interfaces for vibe-agent-toolkit
RAG and embedder composition for the SmartAgent runtime.
A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.
Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.
Core RAG pipeline tools - universal chunking, embedding, vector store interfaces
RAG primitives for AriaFlow
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
RAG pipeline, document processing, embeddings, and vector stores for ElsiumAI
RAG query client - semantic search and context building for FlowState
프레임워크 비의존 RAG 코어 — Prisma·pgvector, 하이브리드 검색, OpenAI 어댑터.
An rag module for Angular.
AI utilities for VentureKit - embeddings, RAG, and agents
Persistent RAG layer for Claude Code sessions
A Rust library and CLI for Retrieval-Augmented Generation
Reusable AI assistant library for local LLM integration (Ollama, LM Studio, etc.)
Retrieval-Augmented Generation for Rust Agent Development Kit (ADK-Rust) agents
Tiny LLM inference for ESP32 microcontrollers with INT8/INT4 quantization, multi-chip federation, RuVector semantic memory, and SNN-gated energy optimization
A complete library to interact with Aiplatform (protocol v1beta1)
Local-first RAG CLI powered by candle for semantic search over your files
Enterprise RAG module with chat context storage, vector search, session management, and model downloading. Rust implementation with Node.js compatibility.
A Rust crate designed to extract, clean, and convert web content from URLs found in text messages into clean Markdown format. Originally created as an auxiliary component for Retrieval-Augmented Generation (RAG) solutions to process URLs submitted by users.
Core Rust RAG engine with optional Flutter Rust Bridge integration
Codebase indexing + hybrid retrieval (vector + BM25) for the Brainwires Agent Framework. Includes AST-aware chunking via tree-sitter (12 languages), Git history search, and reranking via spectral diversity / cross-encoder.
A semantic markdown document loader and splitter for RAG pipelines
Pure-Rust Retrieval-Augmented Generation pipeline built on Trueno
A project helper, include create, develop, test, release helper.
Manage AI vector embeddings in C with Ruby integration
A batteries-included RAG framework that orchestrates document loading, chunking, embedding, vector storage, retrieval, and generation. Think LangChain for Ruby — simpler, more opinionated, and Rails-native.
Simple Rag is a lightweight library that transforms any Ruby project into a simple RAG application.
Simple retrieval-augmented generation on markdown files
fornix-rag — reserved
SmartRAG provides intelligent document processing, vector embeddings, full-text search, and hybrid retrieval capabilities for enhanced information retrieval and question answering.
Gem to rag-adjust text content based on Mark Boulton's 24ways article: http://24ways.org/2013/run-ragged/ and Nathan Ford's JS implementation: https://github.com/nathanford/ragadjust
Command-line interface for Ragdoll's unified text-based RAG system. Converts all media types (images, audio, documents) to searchable text for powerful cross-modal search capabilities. Under development. Contributors welcome.
Rails engine providing ActiveRecord integration, background jobs, and UI components for Ragdoll's unified text-based RAG system. Converts all media types to searchable text for powerful cross-modal search capabilities.
Ragnar is a high-performance RAG system that leverages Rust libraries through Ruby bindings for embeddings, vector search, and topic modeling. It provides a complete CLI for indexing documents and querying with LLMs.
CRUDRAG generates RubyLLM CRUD tools and a semantic RAG index that agents can use to interact with your data layer.
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