Documents contain tables that are lost in plain text extraction. What should you do?
Why A is the answer
Use a layout-aware parser
Parsing quality decides what can be retrieved.
In detail
- Parsing quality decides what can be retrieved.
- What is lost here cannot be retrieved.
Use case
An illustrative scenario, not a real incident.
Tables in reports turn to noise in plain text, and a layout-aware parser keeps them.
See it in different ways
flowchart LR A["Ingest and chunk"] --> B["Embed"] B --> C["Index"] D["Agent query"] --> C C --> E["Rerank"] E --> F["Context for the agent"]
stateDiagram-v2 [*] --> Parse: layout-aware Parse --> Index Index --> HybridSearch: keyword and vector HybridSearch --> Permissions: filter by user Permissions --> Rerank Rerank --> [*]
flowchart LR S0["Layout-aware parser"] --> S1["Tables preserved"] --> S2["Index"]
Key point: Parsing quality decides retrieval.
Why the other options are wrong
- B. Delete all of the tables from the source
- Tables hold real information.
- C. Raise the chunk overlap to its maximum
- Overlap does not recover a table.
- D. Lower the embedding dimension of the index
- Dimension does not recover a table.

