embedding

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

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

A vector index built on TurboQuant, written in Rust with Python bindings

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).

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

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

100+ Chinese Word Vectors 上百种预训练中文词向量

🔍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/

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

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

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

🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history

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

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

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

The TypeScript library for building AI applications.

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.