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 (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, Phi4, ...) (AAAI 2025).
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Siamese and triplet networks with online pair/triplet mining in PyTorch
🔍 Easily find and export your Telegram messages with powerful semantic search, supporting all languages and unsegmented sentences.
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.
UltraRAG 2.0: Less Code, Lower Barrier, Faster Deployment! MCP-based low-code RAG framework, enabling researchers to build complex pipelines to creative innovation.
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
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.
🔍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/
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