RAG

A local-first Model Context Protocol server for managing and semantically searching a document knowledge base, with a built-in web dashboard and every tool also reachable as a plain REST API.

• MCP servers
• RAG

A managed retrieval-augmented-generation API server, built with FastAPI and LangChain, that exposes collections and documents over REST with PostgreSQL and pgvector for storage and vector search.

• RAG
• Databases

A semantic search engine for competitive programming problems that simplifies each problem statement with an LLM, embeds it, and finds similar problems across roughly 255,000 indexed statements from vjudge and other sources.

• RAG

A customer-service demo built on LangChain and LangGraph that combines a ReAct reasoning loop, retrieval-augmented generation over a Chroma vector store, and multiple callable tools, shown through a Streamlit interface.

• RAG
• Tutorials

A self-hosted AI gateway that connects files, databases, APIs and MCP tools to local or hosted models behind one OpenAI-compatible API, with authentication, observability and an admin UI.

• RAG
• LLM gateways

A framework that automatically selects the best text-chunking method for each document in a retrieval-augmented generation pipeline, using intrinsic quality metrics instead of one fixed strategy for every document.

• RAG

A local-first, self-hosted retrieval-augmented question-answering system that indexes local documents into a vector database and answers questions through Ollama or an OpenAI-compatible model, with a built-in MCP server.

• RAG

A benchmarking framework for evaluating the foundational components of retrieval-augmented generation systems, comparing text splitters, retrievers, and orchestrators against multiple evaluation metrics.

• RAG
• AI evals

A demo implementation of Vision RAG, which embeds PDF pages directly as images with a vision-language model instead of chunking text, then retrieves and answers over the best-matching pages.

• RAG

An e-commerce data-warehouse question-answering agent built as a teaching project for learning LangGraph, combining a metadata knowledge base, hybrid retrieval, and staged natural-language-to-SQL generation with execution and streaming results.

• RAG
• Tutorials

Antfly is a search-and-inference database written in Zig that combines full-text, dense, sparse and late-interaction vector search with graph traversal in one engine, running the models that chunk, embed, rerank and extract data inside the process.

• RAG
• Databases

The production Python client for building AI applications on Redis, covering vector index management, hybrid vector and full-text search, semantic caching, and an MCP server for exposing Redis indexes to AI clients.

• RAG
• Databases

A conversation-aware chatbot that answers questions using retrieval-augmented generation over a folder of Markdown files, running entirely on a local language model.

• RAG

A full-stack starter built with Vue and Gin that ships built-in retrieval-augmented generation: knowledge bases, vector search, agent orchestration on a visual canvas, and many LLM and vector-store integrations.

• RAG
• Web frameworks

A curated collection of papers, tools and implementations that combine retrieval-augmented generation with reasoning techniques for large language models and agents.

• RAG
• Curated lists

A plug-and-play, training-free retrieval-augmented generation pipeline that adds visually-aligned OCR, ASR and object-detection text to a large video-language model, improving long-video comprehension without extra fine-tuning.

• RAG

A Streamlit application, backed by txtai, that answers questions over a person's own data through vector-search RAG and graph-path-traversal RAG, run as a Docker container or a Python virtual environment.

• RAG

An encrypted, privacy-first on-device AI app for Android that runs chat, vision, retrieval-augmented generation, voice and a sandboxed plugin runtime against local GGUF models, with no Google Play services, telemetry or cloud dependency.

• RAG
• Inference

A question-answering dataset and evaluation code for testing retrieval and reasoning across multiple documents in retrieval-augmented generation pipelines, with 2,556 queries whose evidence spans two to four documents each.

• RAG
• AI evals

An open-source batch OCR workbench built around Ollama and GLM-OCR, positioned as a free, local alternative to ABBYY FineReader for digitizing scanned books, documents and forms with a three-panel editor.

• RAG

A self-hosted service that converts a web URL, or as of v3 a PDF, Office document, EPUB, image, audio file or YouTube video, into clean Markdown for humans and AI agents to read.

• RAG
• Browser automation

A web interface, CLI and modular architecture for retrieval-augmented generation, document splitting, web scraping and query workflows, built with Haystack, Ollama, Hugging Face and Elasticsearch, and runnable as a proxy in front of an Ollama instance.

• RAG

A benchmark and paper repository for evaluating Graph Retrieval-Augmented Generation (GraphRAG) models against traditional RAG, testing hierarchical knowledge retrieval and deep contextual reasoning.

• RAG
• AI evals

A sample chat application and FastAPI backend that answers questions about rows in a PostgreSQL table using OpenAI chat models, hybrid vector and full-text search, and function calling to turn natural-language filters into SQL conditions.

• RAG
• Databases