RAG

A structured, MCP-accessible catalog of authoritative external data sources, government, international-organization, and academic, meant to ground AI agents' answers in verifiable primary evidence.

• MCP servers
• RAG

A local research assistant that searches Semantic Scholar for a topic, filters and summarizes the papers it finds, and answers questions grounded only in that retrieved set.

• RAG

A Zotero plugin that adds local, offline semantic search over a research library, plus a built-in read-only MCP server so AI coding agents can search and cite the same papers.

• MCP servers
• RAG

An R package for building retrieval-augmented generation pipelines, with sensible defaults for chunking, embedding, and storage while keeping every step inspectable.

• RAG
• Libraries

A schema-based extractor that pulls structured data from documents and the web into JSON or Markdown with a single tool call, for use inside AI agent workflows.

• RAG
• Data engineering

A self-hosted RAG document assistant with per-user knowledge bases, PDF indexing, source citations, and a configurable distance threshold that makes it decline out-of-scope questions.

• RAG

A self-hosted research harness that turns a query into a comprehensive, fully-cited 'dataroom' of sourced files by running a local model through a search-read-write loop for hours on end.

• Agent frameworks
• RAG

A MySQL-compatible database that adds vector search, ML model training, local LLM inference and RAG pipelines as native SQL calls, collapsing a typical AI data stack into one engine.

• RAG
• Databases

A production-ready semantic search API built entirely on Cloudflare's free-tier infrastructure, with OpenAPI documentation and separate reader and writer API keys.

• RAG
• APIs

A demo search engine over a catalog of startup descriptions that lets a developer switch between semantic, keyword and hybrid retrieval on the same data, built with Qdrant.

• RAG
• Tutorials

A pure-Python library that decides what an LLM actually sees from retrieved documents: retrieval, re-ranking, memory decay and token-budget enforcement in one pipeline.

• Agent memory
• RAG

A self-hosted knowledge workspace for teams that organizes documents, notes, and a knowledge graph for retrieval-augmented question answering, with built-in RAG evaluation and nightly self-consolidation.

• Agent memory
• RAG

A local-first retrieval-augmented question-answering system that combines semantic and keyword search with a ReAct agent loop, citation checking, and task recovery after a restart.

• Agent frameworks
• RAG

A self-hostable Streamlit chat application that talks to local Ollama models (or optionally OpenAI), with document RAG over PDFs, image chat and Whisper-based voice input.

• RAG
• Inference

A Rust command-line tool that replaces grep, cat and ls for AI coding agents, returning hybrid BM25 and embedding code search, a compact codebase tree, dependency and impact analysis, and compressed build or CI logs.

• RAG
• CLI tools

A demo retrieval-augmented-generation assistant built with LangChain and Streamlit, intended to explore and visualize the data behind a RAG system rather than serve as a production chatbot.

• RAG

A self-hosted Ruby on Rails platform for running AI models on your own data with an OpenAI-compatible API, retrieval-augmented generation over your documents, and Model Context Protocol integration to connect the assistant to external tools.

• RAG
• Backend

A fully local, GUI and API platform for Retrieval-Centric Generation that lets a user build a private chat tool over their own documents and a locally hosted open-source language model, with a retrieval-tuning module for prompts and analysis.

• RAG

A memory-enhanced GraphRAG framework accepted at a 2026 data-mining conference that organizes retrieval into three connected layers, an abstract schema, extracted facts, and source passages, with conflict detection between facts and their supporting evidence.

• Agent memory
• RAG

A self-hosted tool that turns any document, URL, or zip of files into an interactive knowledge graph, extracting subject-predicate-object facts with a locally-run LLM.

• Agent memory
• RAG

A lightweight, open-source vision-language model, about 1.2 billion parameters, for unified document parsing across both digital documents and camera-captured photos of documents.

• RAG
• Models

A semantic search engine for files and code that builds a reusable index and lets a developer or an AI coding assistant find a file by describing what it does, through a CLI, a Python API or an MCP server.

• RAG
• CLI tools

An open-source framework for quickly building, evaluating and reproducing retrieval-augmented generation systems, covering text-based, multimodal and web-accessible scenarios with an end-to-end pipeline from data preparation to evaluation.

• RAG
• AI evals

A command-line semantic grep for Apple Silicon that reranks or searches files by meaning using Jina embedding models running locally through MLX, with no PyTorch or cloud dependency.

• RAG
• CLI tools