“RAG”

Build a RAG (Retrieval-Augmented Generation) pipeline — chunk data, embed, store in vector DB, query at inference, inject into system prompt.

Consulta el corpus histórico de Producto de Olé (brain + intakes + PRDs + decision-logs + findings) indexado en Bedrock Knowledge Bases y devuelve respuestas…

Retrieve relevant excerpts from a project's text files without loading entire files into context.

MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.

Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks.

Open-source RAG engine under Apache-2.0 with a visual agent builder, hybrid search and a data ingestion pipeline

Open-source, GPL-3.0 platform for building agents with RAG pipelines, a workflow engine and MCP tool use, run from a Docker container

Open-source platform for building AI apps, agentic workflows and RAG pipelines, available as managed cloud or self-hosted

Java library with one API over LLM providers and vector stores, plus tools, RAG and integrations for Quarkus and Spring Boot.

TypeScript framework for AI agents with tools, memory, RAG, MCP and sub-agents, paired with a Cloud or self-hosted console.

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

Open-source RAG engine with document ingestion, hybrid search and visual agent workflows.

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Simple and fast retrieval-augmented generation library with several chunking strategies and storage backends.

Open-source personal assistant with a RAG knowledge base, agent loops and MCP tool access.

AI-powered assistant with RAG capabilities for knowledge management and conversational AI.

Real-time search engine for AI agents and RAG workflows.

Reflexor: Local AI Coding Assistant

Reflexor

Local-first AI coding assistant for VS Code and Cursor with codebase chat, local RAG, inline completion, and approval-first agent workflows.

BkCode — AI Code Assistant & Agent (Ollama, local LLM)

bismarkvargas

Asistente de código IA y agente autónomo 100% local con Ollama (Gemma, Qwen, DeepSeek, Llama): chat, autocompletado inline, RAG, mapa de código, dictado por…

Lattice AI extension for the local-first Digital Brain that keeps your knowledge durable across any AI model.

Guardrails, evaluation and pre-production red teaming for AI agents, RAG apps and chatbots.

Toolkit for evaluating LLM applications with objective metrics, test data generation and feedback loops

AI observability and eval engineering platform where offline evals become production guardrails

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG)…

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request.

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024.

AGENTS.md from HKUDS/LightRAG: 393 lines covering Project Overview, Project Structure, Core Architecture, Development Commands and more.

AGENTS.md from ggozad/haiku.rag: 791 lines covering Quick Reference, Project Structure, Architecture, HaikuRAG Client API and more.

Identity for AI agents covering user authentication, delegated OAuth access, CIBA approvals and RAG authorization.