LlamaIndex
Also known as: LlamaIndex.ai, GPT Index
In one sentence
An open-source framework for building LLM applications with data connectors, indexing, and retrieval—particularly strong for RAG (Retrieval Augmented Generation) systems.
Explain like I'm 12
Like a librarian for AI—it helps organize your documents so ChatGPT and other AI can quickly find the exact information they need to answer questions.
In context
LlamaIndex makes it easy to connect your private data (PDFs, databases, APIs) to LLMs. It handles chunking documents, creating embeddings, storing them in vector databases, and retrieving relevant context when users ask questions.
See also
Related Guides
Learn more about LlamaIndex in these guides:
Orchestration Options: LangChain, LlamaIndex, and Beyond
IntermediateFrameworks for building AI workflows. Compare LangChain, LlamaIndex, Haystack, and custom solutions.
12 min readRetrieval 201: Chunking, Indexing, and Hybrid Search
IntermediateGo beyond basic RAG. Advanced techniques for chunking documents, indexing strategies, re-ranking, and hybrid search.
12 min readAI Workflows and Pipelines: Orchestrating Complex Tasks
IntermediateChain multiple AI steps together into workflows. Learn orchestration patterns, error handling, and tools for building AI pipelines.
7 min read