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BrightSpeedChatBot leverages Retrieval Augmented Generation (RAG) powered by LangChain and a variety of tools, including document retrieval from vector databases and cloud services. With a Streamlit interface, users can engage with an AI agent equipped with conversational memory, providing personalized interactions based on past discussions.

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BrightSpark: Your Smart Chatbot Solution

Welcome to BrightChat, an intelligent chatbot solution developed by BrightSpeed! BrightChat leverages advanced technologies like Chroma DB and LangChain to provide seamless conversations and insightful interactions for users.

Overview

BrightChat is designed to offer a smart and engaging conversational experience. Powered by state-of-the-art language models and efficient vector database management with Chroma DB, it can understand user queries, retrieve relevant information, and generate contextually appropriate responses.

Features

  • Advanced Conversational AI: Utilizes LangChain for powerful conversational abilities.
  • Efficient Vector Database: Pinecone enables fast and accurate retrieval of vector embeddings.
  • Personalized Interactions: Provides tailored responses based on user queries and context.
  • Seamless User Experience: Streamlit interface ensures smooth and intuitive interactions.

Setup Instructions

  1. Clone the repository:
    git clone https://github.com/Gssmc/BrightChat.git
    
  2. Install dependencies:
     pip install -r requirements.txt
    
  3. Run the Streamlit app:
     streamlit run app.py
    
    
    
    

About

BrightSpeedChatBot leverages Retrieval Augmented Generation (RAG) powered by LangChain and a variety of tools, including document retrieval from vector databases and cloud services. With a Streamlit interface, users can engage with an AI agent equipped with conversational memory, providing personalized interactions based on past discussions.

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