AI Server
Empowers intelligent assistants to answer domain-specific questions by leveraging RAG-based retrieval and Pinecone vector storage on custom knowledge bases.
About
The AI Server provides a robust, modular backend for building intelligent assistants. It utilizes Retrieval-Augmented Generation (RAG) principles, powered by Pinecone for efficient vector storage and `intfloat/multilingual-e5-large` for embeddings, to enable answering domain-specific questions from a user's own knowledge base. Integrating seamlessly with large language models like Claude and ChatGPT, it exposes documented tools, making it an extensible platform for context-aware AI applications.
Key Features
- Secure management of API keys using .env files
- Embeddings generated using `intfloat/multilingual-e5-large` via SentenceTransformer
- 0 GitHub stars
- Local server with FastAPI and integration with large language models (Claude/ChatGPT)
- RAG-based retrieval system utilizing Pinecone for fast vector search
- Exposes documented tools for seamless client integration (e.g., Claude, Cursor IDE)
Use Cases
- Integrating RAG capabilities into applications leveraging large language models
- Building intelligent assistants for answering domain-specific questions
- Creating AI-powered Q&A systems from custom knowledge bases