vector-database

POC visual search with smart glasses and Qdrant Edge.

로컬 또는 클라우드 LLM을 사용해 문서 폴더 기반으로 검색·답변하는 RAG 어시스턴트

GenAI Experimentation

The LangChain wrapper of Milvus vector database for efficient vector search, full-text search, hybrid retrieval and RAG.

Faiss-based library for efficient similarity search

A local-first Chrome extension that passively captures ChatGPT, Gemini, Claude, Grok, Perplexity conversations into a private memory graph. Features in-browser Hybrid RAG (Vector + BM25), semantic search, and 100% privacy via WebAssembly and IndexedDB. No servers, no API keys.

A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.

Automatically extracts, processes, and indexes code snippets from GitHub repositories into a searchable vector database.

TypeScript example: build a content-based article recommender using Pinecone similarity search.

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

Pinecone.NET is a fully-fledged C# library for the Pinecone vector database.

Repo Explainer — turn any GitHub repo into a visual explainer page. Pipeline + 5 live examples.

Not-Only LLM Chat. An AI application that enhances creativity and user experience beyond just LLM chat. Noted: Seems it beta version of there is issue with DB please clear site Data in debug

ChatBot, show how to implement a RAG based on OceanBase or OceanBase seekdb AI capabilities escpecailly hybrid search and AI embedding.

Deka — Aligning Human Intuition with Semantic Space

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents.

A Web app stack written in FastAPI, Qdrant, and React for creating AI projects

Vector Database with support for late interaction and token level embeddings.

Some Cool Semantic Kernel Plugins