A RAG pipeline retrieves context from a knowledge base of long poli…

Question

A RAG pipeline retrieves context from a knowledge base of long policy PDFs. Users report answers that miss clauses spanning page boundaries. Which indexing change is most appropriate?

Accepted Answer

Use overlapping chunks (or hierarchical/parent-child chunking) so boundary-spanning clauses remain co-located in retrieved context — Here's the deal — if a requirement straddles two chunks, tiny non-overlapping slices will hide half the sentence. Overlap or hierarchical chunking keeps the clause together for retrieval.

Answer

Reduce chunk size to a single word to maximize precision

Answer

Disable embeddings and rely only on filename search

Answer

Store each PDF as one 100% uncompressed screenshot

A RAG pipeline retrieves context from a knowledge base of long policy PDFs. Users report answers that miss clauses spanning page boundaries. Which indexing change is most appropriate?

Short Explanation and Infographic

Full Explanation