🤖 Build Your Chatbot Right from Your Documents 📄✨

Are you ready to transform your documents into powerful chatbots? With the magic of NextJs, PINECONE, LangChain, and GPT-3.5-turbo, you can turn your text-based content into interactive conversations.

The Technology Stack

Let's break it down:

1️⃣ NextJs (React framework)

Begin by creating your project and setting up the chat component. We'll craft a digest script to process your documents. Using PDF and Markdown loaders, we'll extract text and split it into manageable chunks. Then, OpenAI's embeddings will convert this text into meaningful data. We'll store these embeddings in a vector database and use Cousine algorithm for similarity searches.

2️⃣ PINECONE

PINECONE is a cloud-hosted vector database. Sign up for a free account, create an organization, and set up an index. This step is crucial for efficient data retrieval.

3️⃣ OpenAI

Create an API key to harness the power of GPT for prompt generation.

Connecting the Dots

Now, the exciting part - Connecting it all together:

🔗 NextJs: Develop a Chat App route to connect to the PINECONE database. Make POST requests with questions and history, convert them into embeddings, and feed them into your PINECONE index. The result? Instant answers for your users.

Imagine chatting with your documents! 🚀

Get Started

Ready to start building your intelligent chatbot? Let's embark on this journey together. 🚀🤝