Creating a chatbot that can handle multiple topics, store chats, and manage files efficiently can be quite the endeavor. With the combination of GPT, Pinecone, and LangChain, this task becomes manageable, allowing you to create an organized and capable chat system. In this blog, we will guide you through the process step by step, ensuring a user-friendly experience. Let’s dive in!

Features of the Chatbot

• Create multiple topics to chat about.
• Store any number of files to each topic.
• Create any number of chats for each topic.
• Upload files, convert them to embeddings, and manage them through Pinecone within your browser.
• Retrieve chat history automatically using local storage.
• Supports various file formats including .pdf, .docx, and .txt.

Local Setup for Development

Follow these steps to run the chatbot locally:

Step 1: Clone the Repository

git clone https://github.com/dissorial/doc-chatbot.git

Step 2: Pinecone Setup

To get started with Pinecone, you’ll need to do the following:

1. Create an account on Pinecone and proceed to create an index.
2. Enter any name for the index and input 1536 for dimensions, leaving the rest as default.
3. Create your API key.
4. Define your index name and Pinecone environment (like us-west2-rkw).

Step 3: Install Packages

yarn install

Step 4: Configure Environment Variables

Rename .env.example to .env and structure your .env file:

NODE_ENV=development

Change the node environment to production when you go live.

Deployment

Before deploying, add the following entries to your .env file:

NEXTAUTH_URL=http://localhost:3000
NEXTAUTH_SECRET=JWT_SECRET=

Generate both NextAuth Secret and JWT Secret using:

openssl rand -base64 32

Running the Application

To run your application, execute:

npm run dev

Understanding the Code Through Analogy

Think of your code like preparing a train journey:

• The Repository Clone is akin to booking your ticket for the journey.
• The Pinecone Setup is similar to selecting your route and stops (index and API key).
• Installing Packages represents gathering your luggage (dependencies) crucial for the trip.
• Setting up the Environment Variables is like configuring your train schedule (settings) for efficient stops along the way.

Finally, running the application is like hopping onto the train and embarking on your adventure!

Troubleshooting

If you run into issues, here are some troubleshooting ideas:

• Ensure you’re using the latest version of Node. Check using node -v.
• If files aren’t processing properly, convert them to text or try a different file type as possible causes might include corruption or the need for OCR.
• Double-check the versions of LangChain and Pinecone in use, making sure they match this repository’s requirements.

Pinecone errors can include issues like:

• Confirm the vector dimensions set to 1536.
• For users on the Starter plan, be aware that indexes get deleted after 7 days of inactivity. Send an API request to prevent this.
• If problems persist, consider starting fresh with a new Pinecone project and cloning the repository again.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

By following these steps, you’re well on your way to creating a powerful chatbot that utilizes the capabilities of GPT, Pinecone, and LangChain efficiently. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.