Go Client for CyborgDB: The Confidential Vector Database
Python Client SDK for CyborgDB: The Confidential Vector Database
Metadata filtering in RAG application
JavaScript & TypeScript Client SDK for CyborgDB: The Confidential Vector Database
An ultra-fast BM25 retriever with support for multiple variants and meta-data filtering.
This project is a **production-ready multi-agent AI financial advisory system** designed to deliver **holistic, personalized financial guidance**.
A production-ready Advanced RAG API featuring background ingestion, schema-driven routing, and dynamic metadata filtering. Built with FastAPI, ChromaDB, and Ollama, it utilizes RabbitMQ workers for scalable, idempotent document processing and autonomous query expansion.
An advanced RAG chatbot with metadata filter, hybrid search and reranker
A domain specific multiagentic medical rag on hypertension and diabetics used to generate care plans for the patients.
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