AI Agent Skills

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Rust library for generating vector embeddings, reranking locally!

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenA…

NextPlaid, ColGREP: Multi-vector search, from database to coding agents.

Distributed vector search for AI-native applications

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

A lightweight, lightning-fast, in-process vector database

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for prof…

The AI-native state store for agents. MySQL-compatible, embedded or server, hybrid vector + full-text search, COW sandboxes (FORK/MERGE).

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

A @ClickHouse fork that supports high-performance vector search and full-text search.

Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extract…