OP Uzmani

OP Uzmani AI Chatbot is specifically designed to assist developers working on OP-Stack. Powered by the GPT language model developed by OpenAI, it has been extensively trained on a diverse range of programming and OP-Stack knowledge.

Unlike existing chatbots, this chatbot has up to date information about OP Stack and offers comprehensive expertise in OP Stack.

The OP-Stack Uzmani project aims to empower developers within the OP Stack ecosystem with an advanced chatbot powered by artificial intelligence. This chatbot will provide instant code insights, debugging help to facilitate smoother development journeys for OP Stack developers. By leveraging AI technology, the chatbot will enhance productivity and enable developers to conquer challenges more effectively.

The key features of the OP-Stack AI Chatbot includes Integration with OP Stack Documentation. The chatbot will seamlessly integrate with existing OP Stack tools and documentation, providing developers with easy access to relevant resources and information. It will help developers navigate through the OP Stack ecosystem and leverage its full potential.

The OP-Stack AI Chatbot project encourages contributions from developers of all levels, whether they are budding protocol developers, dApp developers, or anyone in between. Together, the Optimism community can benefit from the advanced AI capabilities of the chatbot, fostering collaboration and accelerating development within the ecosystem.

I have used Django for backend, Langchain, OpenAI API and Pinecone for processing documentation and embedding it to vector database. Also used Next.js for Client side.

I splitted all documentation of OP Stack with Recursive Character Splitting method. Then I have embed the documentation to vector type with text-embedding-ada-002 model of Open AI. After embedding, I have created index and uploaded embeddings, splitted documentations to Pinecone which is powerful server side vector database with their id, metadata.

Finally, I have integrate chatbot front and and my Django server which has API for my vector database and Open AI. So, users can send query about OP Stack to the API and get answers about OP Stack.