rag

Convert files into markdown to help RAG or LLM understand, based on markitdown and MinerU, which could provide high quality pdf parser.

Text2Sql.Net 是一个使用DotNet和Semantic Kernel开发的Text2Sql工具

Art 是一个开源的、一站式 AI 应用开发平台，其灵感来源于行业领先的 Coze 和 Dify。我们致力于将这些先进的 LLM 应用编排理念带入 Java 世界，为广大 Java 开发者提供一个熟悉、高效、稳定且易于扩展的 AI 应用构建环境。

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

cruby's capable AI runtime

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Open Source, Self-Hosted, AI Search and LLM.txt for your website

A curated list of open source repositories for AI Engineers

Bringing Generative AI to the way the Civil Service works

A production-ready FastAPI platform with modular components and a built-in control plane.

A document based RAG application

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

Deploy a complete self-hosted AI stack with Docker Compose: Ollama, LiteLLM, AnythingLLM, Whisper, WhisperLive, Kokoro, Embeddings, Docling and MCP Gateway. Local-first, private by default, with lightweight stacks, optional HTTPS and NVIDIA CUDA acceleration. Multi-arch: amd64, arm64.

RAG using Llama3, Langchain and ChromaDB

Chat with SEC filings for any investment question

An advanced AI assistant that leverages the capabilities of ChatGPT API, Gemini Pro, AutoGen, and open-source LLMs, enabling it both to engage in conversations and to execute computing tasks on local devices.

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.

Local llamaindex RAG to assist researchers quickly navigate research papers

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.