Example: LangChain Streamlit Doc Chat📄#

Description:

This Streamlit-based application demonstrates a AI chatbot powered by local LLM and embedding models

Used Technology:

@ Xinference: as the LLM and embedding model hosting service

@ LangChain: orchestrates the entire document processing and query answering pipeline

@ Streamlit: for interactive user interface

Detailed Explanation on the Demo Functionality :

  • Streamlit UI for uploading text files, enhancing user interaction.

  • Texts are split into chunks and embedded using Xinference for efficient processing.

  • Executes similarity searches on embedded texts to pinpoint relevant sections for user queries.

  • Utilizes a structured prompt template for focused LLM interactions.

  • Xinference’s LLM processes queries within the context of relevant document parts, providing accurate responses.

  • The system facilitates effective and context-sensitive document exploration, aiding users in information retrieval.

Source Code :