About langchain-chatbot

Examples of chatbot implementations with Langchain and Streamlit

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README.md

Chatbot Implementations with Langchain + Streamlit

Langchain is a powerful framework designed to streamline the development of applications using Language Models (LLMs). \ It provides a comprehensive integration of various components, simplifying the process of assembling them to create robust applications.

💬 Sample chatbot use cases

Here are a few examples of chatbot implementations using Langchain and Streamlit:

Basic Chatbot \ Engage in interactive conversations with the LLM.
Context aware chatbot \ A chatbot that remembers previous conversations and provides responses accordingly.
Chatbot with Internet Access \ An internet-enabled chatbot capable of answering user queries about recent events.
Chat with your documents \ Empower the chatbot with the ability to access custom documents, enabling it to provide answers to user queries based on the referenced information.
Chat with SQL database \ Enable the chatbot to interact with a SQL database through simple, conversational commands.
Chat with Websites \ Enable the chatbot to interact with website contents.

Streamlit App

Created a multi-page streamlit app containing all sample chatbot use cases. \ You can access this app through this link: langchain-chatbot.streamlit.app

🖥️ Running locally

# Run main streamlit app
$ streamlit run Home.py

📦 Running with Docker

# To generate image
$ docker build -t langchain-chatbot .

# To run the docker container
$ docker run -p 8501:8501 langchain-chatbot

💁 Contributing

Planning to add more chatbot examples over time. PRs are welcome.

langchain-chatbot