Go Client for CyborgDB: The Encrypted Vector Database
Python Client SDK for CyborgDB: The Encrypted Vector Database
Metadata filtering in RAG application
JS & TS Client SDK for CyborgDB: The Encrypted Vector Database
This project is a **production-ready multi-agent AI financial advisory system** designed to deliver **holistic, personalized financial guidance**.
An ultra-fast BM25 retriever with support for multiple variants and meta-data filtering.
A Agentic RAG system built with LlamaIndex and Qdrant for NCCU teachers and students.
强隔离知识库：基于 QMD 深度定制的本地私有知识库服务，提供属性硬隔离、混合检索、远程推理与 OpenClaw 治理流程
RAG-Based Explainable Resume Analysis System with Retrieval Visualiser and Human-in-the-Loop feedback
An advanced RAG chatbot with metadata filter, hybrid search and reranker
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.
A domain specific multiagentic medical rag on hypertension and diabetics used to generate care plans for the patients.
Production-oriented RAG backend in Go with hybrid retrieval, model fallback, and ingestion pipelines
A scalable, production-grade Multi-Entity RAG architecture querying 6 country Olympic datasets (1900–Present) using HNSW metadata isolation in Chroma DB.
Industrial RAG POC using Milvus for semantic search, metadata filtering, traceable retrieval, and guarded answer generation.
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