Statistics for topic retrieval-augmented-generation
RepositoryStats tracks 518,989 Github repositories, of these 99 are tagged with the retrieval-augmented-generation topic. The most common primary language for repositories using this topic is Python (56). Other languages include: Jupyter Notebook (12)
Stargazers over time for topic retrieval-augmented-generation
Most starred repositories for topic retrieval-augmented-generation (view more)
Trending repositories for topic retrieval-augmented-generation (view more)
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The open source platform for AI-native application development.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Chat with your PDFs, built using Streamlit and Langchain. Allows the user to ask questions to a LLM, which will answer based on the content of the provided PDFs.
MongoDB Chatbot Framework. Powered by MongoDB and Atlas Vector Search.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
The open source platform for AI-native application development.
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The open source platform for AI-native application development.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The open source platform for AI-native application development.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your ...
The open source platform for AI-native application development.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
The open source platform for AI-native application development.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Tutorial on training, evaluating LLM, as well as utilizing RAG, Agent, Chain to build entertaining applications with LLMs.分享如何训练、评估LLMs，如何基于RAG、Agent、Chain构建有趣的LLMs应用。
Redis Vector Library (RedisVL) interfaces with Redis' vector database for realtime semantic search, RAG, and recommendation systems.