RAG & Retrieval

Parsing PDFs for RAG: Layout, Tables, and the Pages Your Pipeline Silently Drops

October 5, 2026

Retrieval quality has a floor set by your parser. How to audit extraction, route documents by class, keep tables intact, and gate parse quality at ingest.

Your Index Is a Stale Copy: Incremental Sync, Deletes, and Reindexing for Production RAG

September 21, 2026

Most RAG projects tune retrieval and never revisit the pipeline that fills the index. How to do incremental sync with content hashes, propagate deletes, and reindex behind a shadow index without a quality cliff.

Permission-Aware RAG: Enforcing Document Access Control in Retrieval

September 18, 2026

The moment your corpus spans more than one customer or one security group, retrieval becomes an authorization surface. How to filter at the index, keep recall honest, and test for leaks.

Swapping Embedding Models Without a Retrieval Regression

September 16, 2026 · TokenTailors

A new embedding model tops the leaderboard and someone proposes a re-index. Here is how to decide whether it helps your corpus, and how to run the migration behind a shadow index without a quality cliff.

Hybrid Search and Reranking: Where RAG Recall Actually Comes From

September 14, 2026

Dense-only retrieval misses exact terms; BM25-only misses paraphrase. How to combine them, where a reranker earns its latency, and how to measure each stage separately.

Chunking Is a Retrieval Decision, Not a Preprocessing Step

April 14, 2026

Fixed-size chunking is where most RAG quality problems start. How to choose chunk boundaries from your corpus and your queries — and how to measure the difference.