Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

DWC Customiser plugin - Build custom dashboards from std DWC UI components and add new custom components and buttons which can run Macros/gcode, or post http requests, and MQTT msgs.

🧬🔍 Vecgo is a pure Go, embeddable, hybrid vector database designed for high-performance production workloads. It combines commit-oriented durability with HNSW + DiskANN indexing for best-in-class performance.

DWC Plugin to assist with upgrading RRF firmware

基于 LangGraph 实现的聊天机器人，接入 DeepSeek、Qwen、智谱 AI 多个 LLM 模型，支持在线搜索和文件解析。

FastAPI backend for archive.ire.org

Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines: Employs Diversity, Lost-in-the-Middle, and Similarity rankers to reorder documents and maximize LLM context window performance. Implements Hybrid Retrieval with Reciprocal Rank Fusion (RRF) and rigorous BEIR evaluation (NDCG, MAP, Recall, Precision).

A Python script/service to send MQTT msgs from a SBC running Duet DSF. Uses the DSF pydsfapi plugin.

Synapse AKG: High-performance Agentic Knowledge Graph with hybrid search (KNN + BM25 + RRF) for AI agents

v3.9.0 — Persistent, auditable, contradiction-safe memory for coding agents. Hybrid BM25+vector+RRF, native MIC/MAP wire format, HTTP/inbox/daemon transports, hash-of-code pipeline invalidation, persona projection, dependency-ordered walkthrough. 81 MCP tools, 17 AI clients, mind-mem-4b (Qwen3.5-4B full fine-tune). Zero runtime deps.

AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.

Intent-aware hybrid search for e-commerce using Qdrant, IBM Granite embeddings, and Gemini 3.1 Flash Lite.

A RP2040 / MicroPython successor to the PrintEYE, supporting the RRF objectmodel

RAG 系统 - 莆仙话方言智能问答系统

This demo showcases a store associate application built on MongoDB Atlas, created to streamline product discovery and inventory visibility as part of a unified commerce strategy.

🔍 High-performance Hybrid RAG implementation using Clean Architecture. Combines semantic vector search with keyword-based retrieval using RRF (Reciprocal Rank Fusion).

CPU-only agentic RAG — no LangChain wrappers, no GPU, no cloud. LangGraph orchestration with adaptive web-search routing, conversational summarization, and query enrichment. Hybrid retrieval: dense (nomic-embed) + BM25, vectorized MMR via einsum, RRF fusion, full chunk provenance tracking. Gemma4 E2B via Ollama.

Information Retreival Course Repository, 7th Semester, IITD, 2023-24

A step-by-step Elasticsearch notebook comparing retriever strategies on a hand tools product catalog.