Welcome to the next evolution of interactive Question-Answering (Q&A) systems: Retrieval-Augmented Generation (RAG) with Intelligent Agents Integration**. This cutting-edge system combines the power of retrieval-augmented generation techniques with the intelligence and adaptability of intelligent agents to revolutionize how users interact with information.
- Retrieval-Augmented Generation: Harnesses advanced algorithms to retrieve and generate responses with unparalleled accuracy and context sensitivity.
- Intelligent Agents Integration: Seamlessly integrates intelligent agents into the Q&A system, enabling dynamic and personalized interactions.
- Note-Making Capability: The agents have the ability to make notes. Example: The agent can make notes about Niagara Falls.
- Streamlit Interface: Provides an intuitive and user-friendly interface powered by Streamlit for effortless querying and response retrieval.
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Run the Streamlit app:
streamlit run app.py -
Access the Streamlit interface: Open your web browser and navigate to http://localhost:8501 to access the intuitive Streamlit interface.
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Interact with Intelligent Agents: Enter your queries in the provided text area and experience dynamic interactions with intelligent agents. Receive contextually relevant responses enriched by Langchain's retrieval-augmented generation techniques.
Our system facilitates seamless collaboration with intelligent agents, empowering users to engage in dynamic exchanges and delve deeper into topics within the Harry Potter universe. Whether you're seeking insights, exploring plot intricacies, or simply indulging in magical discussions, our integrated agents are here to enhance your experience every step of the way.