Document Index

Document Index

Document Index

A document index stores processed representations of documents, including extracted text, metadata, keyword indexes, and vector embeddings. Retrieval queries the index rather than the original files.

Index construction occurs during ingestion and must be updated as documents are added.

Alternative Names:

Search Index, Retrieval Index

Why it Matters?

Index scope defines what the system can find, and gaps are silent. Documents that failed OCR, files in unsupported formats, and material added after the last index update are invisible to search regardless of relevance. In litigation this creates a real risk, since a party relying on AI search to confirm that no responsive document exists may be relying on an index that never contained it. Verifying ingestion completeness is part of any defensible process.

Frequently Confused with

Related terms

Frequently asked questions

What can make documents invisible to search?

What can make documents invisible to search?

Failed OCR, unsupported file formats, processing exceptions, and material added after the last index update. These gaps are silent rather than flagged.

Why does index completeness matter for defensibility?

Why does index completeness matter for defensibility?

Because a search returning no results may reflect an incomplete index rather than the absence of responsive material, which undermines any conclusion drawn from it.