LlamaIndex

What LlamaIndex is

LlamaIndex is the layer between your messy documents and a model that needs them. It provides parsing, OCR, indexing and workflow tooling so unstructured material becomes something an agent or knowledge assistant can retrieve from, with both open-source and hosted paths.

What you can do with it

• Parse PDFs, scans and tabular documents
• Build indexes over document collections
• Construct retrieval for knowledge assistants
• Wire parsed data into agent workflows
• Evaluate parsing cost before scaling

Who it is for

• AI engineers and data teams
• Enterprise knowledge base projects
• Developers handling complex documents

What to watch out for

• Parsing quality varies sharply with scans, tables and unusual layouts; test on your worst documents first
• Documents you parse may contain confidential or personal data, so watch where parsed text is stored
• Retrieval quality depends on chunking and metadata decisions you make
• Parsing large archives costs money per page, so estimate before committing