Statistics for topic retrieval-augmented-generation
RepositoryStats tracks 583,068 Github repositories, of these 174 are tagged with the retrieval-augmented-generation topic. The most common primary language for repositories using this topic is Python (91). Other languages include: Jupyter Notebook (29)
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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
A list of software that allows searching the web with the assistance of AI.
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 Ll...
A list of software that allows searching the web with the assistance of AI.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
Retrieval augmented generation for middle-school math question answering and hint generation.
A list of software that allows searching the web with the assistance of AI.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A list of software that allows searching the web with the assistance of AI.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A list of software that allows searching the web with the assistance of AI.
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on...
This repo contains a list of channels and sources from where LLMs should be learned
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
A list of software that allows searching the web with the assistance of AI.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Unified framework for building enterprise RAG pipelines with small, specialized models
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案
A list of software that allows searching the web with the assistance of AI.
Agent S: an open agentic framework that uses computers like a human
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
The open source platform for AI-native application development.
The most advanced Retrieval-Augmented Generation (RAG) system, containerized and RESTful
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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 Ll...
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Unified framework for building enterprise RAG pipelines with small, specialized models
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
The open source platform for AI-native application development.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation