rerank library for easy reranking of results

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

RAG System that implement simple and fast. like ragi to make indonesian bread

LLM Banking Compliance Assistant is a production-grade RAG application for querying financial and regulatory documents with high accuracy and verifiable citations. It combines semantic search, cross-encoder reranking, and GPT-4o-mini generation to deliver domain-specific answers to complex banking compliance questions

Vidya — Hybrid memory plugin for OpenClaw agents. LanceDB vector store + Voyage AI embedding/rerank + BM25 keyword search. Multi-scope isolation, auto-capture with LLM judgment, and 400ms avg retrieval.

Bridge WeChat and Claude Code with an Electron desktop app for chat, image input, QR login, and session control

Hybrid BM25 + vector search CLI for personal knowledge bases. Cross-encoder reranking, SQLite + sqlite-vec, Cloudflare Workers AI.

Explore real-time keyword data from multiple search engines to improve SEO, content strategy, and online growth with a unified platform.

AI-powered recruitment platform with an 8-stage RAG pipeline — semantic search, HyDE, hybrid retrieval, MMR diversity & Cohere reranking. Upload resumes, match candidates to JDs, and automate ingestion via Gmail.

🧭 Explore smart navigation with Y-Nav, your privacy-focused, AI-powered dashboard for seamless multi-device syncing.

RAG Eval Observability is a production-ready, open-source platform for building, evaluating, and monitoring Retrieval-Augmented Generation (RAG) systems. It pairs a ChatGPT-style UI with a robust backend for document ingestion, multiple retrieval strategies, offline evaluation, and real-time observability, along with backend CI/CD deployed on Azure

RAG Evaluation Playground — Visualize, compare, and evaluate retrieval performance across different chunking strategies, embeddings, and reranking approaches.