chase_ai
  1. The 7 Levels of Claude Code and RAG: What Level Are You On?

    A full map of Claude Code memory and RAG — from auto-memory to agentic graph RAG. Know your level, the trap at each one, and what to do next.

    claude-coderagmemory

  2. Karpathy's Obsidian RAG + Claude Code: The No-Database Setup

    Andrej Karpathy's Obsidian knowledge base uses no vector database, no embeddings, and no retrieval pipeline. Here's how to set it up with Claude Code for a solo operator or small team.

    claude-codeobsidianrag

  3. Claude Code + RAG-Anything: Multimodal RAG for PDFs and Charts

    RAG-Anything extends LightRAG with multimodal ingestion for scanned PDFs, charts, tables, and images. Here's how it works and how to install it with Claude Code.

    claude-coderag-anythinglightrag

  4. Claude Code + LightRAG: Graph RAG for Large Document Sets

    LightRAG is an open-source graph RAG system that plugs into Claude Code. Here's when you need it, how it works, and how to install it in minutes.

    claude-codelightragrag

  5. Gemini Embedding 2: How to Build Multimodal RAG Right

    Google's Gemini Embedding 2 lets you embed videos directly into vector databases — but embedding a video isn't the same as being able to analyze it. Here's the architecture most people are missing.

    raggemini-embedding-2multimodal-ai

  6. Claude Code + NotebookLM: Free AI Research Stack

    Combine Claude Code with Google's NotebookLM to build a free research pipeline that scrapes YouTube, runs RAG-based analysis, and generates deliverables like infographics and slide decks — without spending tokens on the heavy lifting.

    claude-codenotebooklmai-research