AI Agent Skills

Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks 'how to isolate customer data', 'how to build multi-ten…

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

RAG Time: A 5-week Learning Journey to Mastering RAG

An LLM-powered advanced RAG pipeline built from scratch

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，支持GraphRAG，无须安装任何第三方agent库。

Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel

AI-First Album: Chat with your gallery using plain language! LLM Vision + RAG + Album/Gallery.

Train Models Contrastively in Pytorch

An Innovative Agent Framework Driven by KG Engine

End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定…

An Educational Project (step by step) to teach how to build a production-ready app for RAG application.

Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practi…

🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical compar…

非常详细的大模型LLM的学习教程与笔记

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating c…