Skip to content

Latest commit

 

History

History
executable file
·
79 lines (57 loc) · 3.32 KB

README.md

File metadata and controls

executable file
·
79 lines (57 loc) · 3.32 KB

PolyExplainer Chatbot by ⌘ Langbase

License: MIT Fork to ⌘ Langbase

Build an PolyExplainer Chatbot with Pipes — ⌘ Langbase

This chatbot is built by using an AI Pipe on Langbase, it works with 30+ LLMs (OpenAI, Gemini, Mistral, Llama, Gemma, etc), any Data (10M+ context with Memory sets), and any Framework (standard web API you can use with any software).

Check out the live demo here.

Features

  • 💬 PolyExplainer Chatbot — Built with an AI Pipe on ⌘ Langbase
  • ⚡️ Streaming — Real-time chat experience with streamed responses
  • 🗣️ Q/A — Ask questions and get pre-defined answers with your preferred AI model and tone
  • 🔋 Responsive and open source — Works on all devices and platforms

Learn more

  1. Check the PolyExplainer Chatbot Pipe on ⌘ Langbase
  2. Read the source code on GitHub for this example
  3. Go through Documentaion: Pipe Quick Start
  4. Learn more about Pipes & Memory features on ⌘ Langbase

Get started

Let's get started with the project:

To get started with Langbase, you'll need to create a free personal account on Langbase.com and verify your email address. Done? Cool, cool!

  1. Fork the PolyExplainer Chatbot Pipe on ⌘ Langbase.
  2. Go to the API tab to copy the Pipe's API key (to be used on server-side only).
  3. Download the example project folder from here or clone the reppository.
  4. cd into the project directory and open it in your code editor.
  5. Duplicate the .env.example file in this project and rename it to .env.local.
  6. Add the following environment variables (.env.local):
    # Replace `PIPE_API_KEY` with the copied API key.
    NEXT_LB_PIPE_API_KEY="PIPE_API_KEY"
  1. Issue the following in your CLI:
    # Install the dependencies using the following command:
    npm install

    # Run the project using the following command:
    npm run dev
  1. Your app template should now be running on localhost:3000.

NOTE: This is a Next.js project, so you can build and deploy it to any platform of your choice, like Vercel, Netlify, Cloudflare, etc.

Authors

This project is created by Langbase team members, with contributions from:

  • Muhammad-Ali Danish - Software Engineer, Langbase
    Built by ⌘ Langbase.com — Ship hyper-personalized AI assistants with memory!