Go Client for CyborgDB: The Encrypted Vector Database
Python Client SDK for CyborgDB: The Encrypted Vector Database
JS & TS Client SDK for CyborgDB: The Encrypted Vector Database
Metadata filtering in RAG application
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.
Metadata-aware RAG system for intelligent document retrieval, filtering, and source-grounded question answering.
A local, privacy-first Multimodal RAG pipeline for pharmaceutical dossiers. Features adaptive OCR (Tesseract + OpenCV), cosine-distance document segmentation, and intent-routed vector retrieval using quantized Mistral-7B and LlamaIndex.
Python, optional source filter
RAG-Based Explainable Resume Analysis System with Retrieval Visualiser and Human-in-the-Loop feedback
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
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.
Measured benchmark of pgvector HNSW recall collapse under WHERE filters — selectivity cliff, iterative_scan cost, and the btree crossover the planner misses.
Policy-aware RAG system with temporal filtering, access control, and prompt-injection defense
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.
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
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