Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

100+ Chinese Word Vectors 上百种预训练中文词向量

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, Phi4, ...) (AAAI 2025).

A community-driven way to read and chat with AI bots - powered by chatGPT.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Siamese and triplet networks with online pair/triplet mining in PyTorch

Data framework for your LLM applications. Focus on server side solution

🔍 A powerful Telegram chat search tool with vector search and semantic matching capabilities.

All-in-one platform for search, recommendations, RAG, and analytics offered via API

A curated list of community detection research papers with implementations.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

UltraRAG 2.0: Less Code, Lower Barrier, Faster Deployment! MCP-based low-code RAG framework, enabling researchers to build complex pipelines to creative innovation.

Extensible, parallel implementations of t-SNE

The TypeScript library for building AI applications.

WFGY 2.0. Semantic Reasoning Engine for LLMs (MIT). Fixes RAG/OCR drift, collapse & “ghost matches” via symbolic overlays + logic patches. Autoboot; OneLine & Flagship. ⭐ Star if you explore semantic RAG or hallucination mitigation.

A @ClickHouse fork that supports high-performance vector search and full-text search.

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

Four word embedding models implemented in Python. Supporting arbitrary context features

优质稳定的OpenAI、Gemini、Claude等的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持openai的API接口，支持：gpt-4，gpt-3.5。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增

🔍大模型应用开发实战一：RAG技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Generative Representational Instruction Tuning

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）

Minimum-distortion embedding with PyTorch

A NodeJS RAG framework to easily work with LLMs and embeddings

OpenL3: Open-source deep audio and image embeddings

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)