Popular GitHub Repositories for Doc

Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

Embed AI chat dialog into your doc site to answer user questions based on your own content.

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec).

Starter App to Build Your Own App to Query Doc Collections with Large Language Models (LLMs) using LlamaIndex, Langchain, OpenAI and more (MIT Licensed)

A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall in RAG). | Doc2X API的python封装，同时附带本地的文本处理(提升PDF在RAG中的召回率)。

DeepSeek Chat UI, Build your own deepseek service through the API of public cloud vendors。支持上下文、历史会话、联网搜索、TXT/DOC/PDF文件上传、用户管理、流式输出。

支持查询主流agent框架技术文档的MCP server（支持stdio和sse两种传输协议）, 支持 langchain、llama-index、autogen、agno、openai-agents-sdk、mcp-doc、camel-ai 和 crew-ai

Semantic code searcher and codebase utility with AI memory onboard

文档全文翻译器：英文PDF/MD论文 → (PDF Doc2X识别) → 翻译（GPT deepseek ollama google deepL deepLX）→ 中文文档(Markdown/Word)

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

document embedding and machine learning script for beginners

Text Summarization for Research Papers

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Ask the Doc app built using Langchain and Streamlit.

A Practical Approach to Retrieval Augmented Generation (RAG) Systems - Ebook

A library for advanced Natural Language Processing towards multi-modal educational items.