dchat

dchat is an AI-powered RAG-based chatbot that allows users to upload files and ask questions related to their content. It offers versatile use cases, with a key innovation focused on privacy. Uploaded files are securely handled, ensuring confidentiality. By logging in with a Google account, users can maintain and manage their chat history seamlessly. The chatbot leverages the Mistral AI LLM model, ensuring high-quality responses and efficient processing of user queries.

Contribution

1. Pick an issue and suggest your solution OR create an issue regarding what better you can add to the project.
2. Start working on the issue and create a branch and open pull request.
3. Once the PR is reviewed and approved, it will be merged to the main branch 💫.

Tech Stack used

1. Mistral AI for the large language model (LLM)
2. PGVector as the vector database
3. LangChain for integrating AI and retrieval-augmented generation (RAG)
4. FastAPI for the backend
5. Next.js & React for the frontend
6. Shadcn/UI & Tailwind CSS for styling
7. Prisma ORM & PostgreSQL for database management
8. Next-Auth for authentication
9. Docker for containerized deployment