This project demonstrates a React Agent built using LangGraph with advanced tool integration and long-term memory capabilities. The agent is designed to assist users in customer support scenarios with a rich set of tools and a sleek UI interface powered by Chainlit .
- Knowledge Base Retriever: Retrieves information from a FAISS-based knowledge base.
- Customer Information Tool: Fetches user details for personalized support.
- Form Management:
- Retrieve form details.
- Assist users in completing forms step-by-step.
- Submit forms and handle retries for any submission errors.
- Memory Capabilities:
- Save Memory: Store contextual information during conversations.
- Search Memory: Retrieve past interactions to ensure continuity and context.
- Powered by Mem0AI for long-term memory management.
- Dynamic Chat UI: A user-friendly interface created with Chainlit for seamless interaction with the chatbot.
-
Install dependencies with Poetry:
poetry install
-
Setup environment variables: Provide required api keys: OPENAI_API_KEY=your-api-key.
cp .env.example .env
-
Start the local server:
make start
Access the API at http://localhost:8000
The project utilizes LangGraph to define a conversational workflow, integrating tools and memory nodes. Below is an example diagram of the graph and the UI interface:
-
Check order history of a customer:
-
Change user's address:
