How Often to Reindex, and What Breaks When You Forget
Stale indexes give confident wrong answers. How to set reindexing frequency by document tier, and what breaks when a sync run falls behind.
An Internal Documentation Assistant for Onboarding New People
A retrieval augmented AI assistant answers new joiners' questions from your own documents, with a visible source for every answer. How to build one.
Reranking Retrieved Passages: The Step Most Teams Skip
Vector search alone buries the right passage at rank 12. See how a cross-encoder reranker reorders retrieved chunks and fixes wrong RAG answers.
Turning PDFs, Scans and Spreadsheets Into Text a Bot Can Search
How to turn PDFs, scans and spreadsheets into searchable text: file triage, layout-aware extraction, OCR accuracy and clean chunks for a document bot.
Keeping a Knowledge Base Current Without a Full-Time Editor
How to keep a retrieval assistant's source documents fresh without hiring a full-time editor: spot rot, use usage data, and share the maintenance load.
Hybrid Retrieval: Combining Keyword Search With Embeddings
Why dense vector search alone fails on company documents, what BM25 still does better, and how hybrid retrieval merges both ranked lists into one.
Vector Database or Plain Keyword Search: When Each One Wins
Keyword search nails exact IDs, vector search handles vocabulary mismatch. A practical guide to picking the right retrieval method for your RAG project.
Chunking Documents for Retrieval: Size, Overlap and Where to Cut
How chunk size and overlap decide retrieval quality, where to cut documents, and the failure modes that show up when boundaries are wrong.
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