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LlamaIndex from scratch

This path is for you if you want a library that turns files into something you can query. It is LlamaIndex: connectors, pieces of documents, an index, and a query step. No part is live on this page yet. Start with Practical AI for the plain retrieval lesson, then come back for the library.

  1. 1 What Is LlamaIndex? The Data Framework for Connecting LLMs to Your Files Use LlamaIndex when you need connectors, nodes, indexes, and cited answers over private files. Do not confuse the chat UI with the retrieval pipeline underneath. Scheduled · December 2, 2026
  2. 2 How to install LlamaIndex and build a script that answers questions about your files Build an Ask My Folder script with llama-index-core, file readers, and persisted storage. Cache embeddings. Print source scores so weak matches do not look like proof. Scheduled · December 30, 2026
  3. 3 How LlamaIndex organizes your documents into nodes, indexes, and query engines Learn the Document, Node, Index, and Query Engine layers. Prefer sentence-aware nodes and the right index type over blind character slicing. Scheduled · January 27, 2027
  4. 4 How to connect LlamaIndex to a local Ollama model or a hosted AI service Point LlamaIndex at Ollama for air-gapped RAG, or at hosted APIs for frontier models. Match the provider to PHI rules, latency, and cost. Watch context size and embedding dimensions. Scheduled · February 12, 2027
  5. 5 How to turn complex PDFs and tables into clean data with LlamaParse Route hard PDFs through LlamaParse into Markdown, then chunk on headers. Keep local readers for plain notes. Intact tables beat OCR soup. Scheduled · March 1, 2027
  6. 6 How LlamaIndex agents answer questions that need documents, databases, and math Use QueryEngineTool and FunctionTool with a ReAct agent for multi-hop work. Cap iterations, write clear tool descriptions, and watch token cost per loop. Scheduled · March 12, 2027
  7. 7 When you don’t need LlamaIndex: simpler ways to build AI document search Match tool weight to corpus size, churn, security, and query complexity. Skip framework overhead when a script or product UI already solves the job. Scheduled · March 24, 2027