Advanced Guides
2 InsiderLLM guides in Advanced — practical, tested walkthroughs for running AI locally, sorted by most recently updated.
- Best Way to Run 31B Models on a Laptop? Treat Them Like Databases LARQL decompiles transformer weights into a queryable graph called a vindex. The project pitches a new shape for local inference: walk a subgraph, patch facts, stream from disk. Here's what's real, what's claimed, and what's still research.
- RAG Pipeline for Local AI: A Practical Guide to Retrieval-Augmented Generation Build a local RAG pipeline with Ollama, ChromaDB, and your own documents. Chunking strategies, embedding models, vector stores, and the failure modes nobody warns you about.