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Chatbot with KNB data connection
Brief description
Development of an LLM-based chatbot with RAG database connection and database tools for aggregation. This includes the development of a backend API that implements the ReAct agent with the tools and connects it to an OpenAI API.
Supplement
The KNB data is stored in two formats: once as vectorized plain text for the RAG functionality, and once as a MongoDB database to provide aggregations. The agent receives these tools and can decide within the ReAct model how the data should be retrieved.
Subject description
It is implemented in two ways: first, using LangGraph and a graph-based ReAct agent, and second, using an OpenWebUI agent with integrated tools.
IT project data
- Industries information technology
- Specialist tasks artificial intelligence
- DP tasks standard software expansion
- System environments Artificial Intelligence (AI), Client/Server
- Procedure model DevOps
- Programming languages Python
- System software OpenAI API
- Middleware and frameworks fastapi, LangGraph
Project start01.01.2025
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