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.
No commits in the last 6 months.
Use this if you need a smart chatbot that can draw information from your own content and maintain conversational context for a better user experience.
Not ideal if you're looking for a simple, out-of-the-box chatbot without custom knowledge integration or if your primary need is basic FAQ automation.
Stars
38
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 08, 2024
Commits (30d)
0
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