LangGraphRAG and rag-agent-workbench

LangGraphRAG

Emerging

rag-agent-workbench

Experimental

Maintenance 0/25

Adoption 6/25

Maturity 16/25

Community 10/25

Maintenance 10/25

Adoption 1/25

Maturity 11/25

Community 0/25

Stars: 15

Forks: 2

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 1

Forks: —

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stale 6m No Package No Dependents

No Package No Dependents

About LangGraphRAG

ranguy9304/LangGraphRAG

LangGraphRAG: A terminal-based Retrieval-Augmented Generation system using LangGraph. Features include message history caching, query transformation, and vector database retrieval. Ideal for NLP researchers and developers working on advanced conversational AI and information retrieval systems.

This system helps NLP researchers and developers build advanced conversational AI. It takes your questions, learns from past conversations, and pulls information from a vector database (which you can populate with web pages or PDFs). The result is a more informed and context-aware answer to your query, ideal for developing sophisticated information retrieval applications.

conversational-ai information-retrieval natural-language-processing AI-development

About rag-agent-workbench

brej-29/rag-agent-workbench

Production-grade RAG chatbot with a FastAPI + LangGraph backend (Pinecone vector search + Groq LLM + Tavily web fallback) and a Streamlit chat UI, secured via API key and observable in LangSmith.

Related comparisons

LangGraphRAG and RAG

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