Gemini-RAG and ragent-chatbot

Gemini-RAG
40
Emerging
ragent-chatbot
20
Experimental
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 2/25
Adoption 3/25
Maturity 15/25
Community 0/25
Stars: 38
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 4
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Gemini-RAG

RubensZimbres/Gemini-RAG

Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow

This project helps you build a custom chatbot that can answer questions based on your specific documents and remember past conversations. You feed it your business documents, and it provides accurate, context-aware answers to user questions via a chat interface. It's ideal for customer support specialists, educators, or internal knowledge managers.

customer-support knowledge-management conversational-AI e-learning information-retrieval

About ragent-chatbot

shafiqul-islam-sumon/ragent-chatbot

RAGent Chatbot is a smart AI assistant that combines Retrieval-Augmented Generation (RAG) with a tool-using LLM agent. It can answer user queries using uploaded documents, perform web searches, summarize text, solve math expressions, check weather, and more — all powered by LangChain, Qdrant, and Gemini.

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Gemini-RAG and multi-llm-rag-agent-chat

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