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.
RAG in Customer Support: From First Answer to Human Handover
How to ground support answers in your own help center content, design the first reply, and hand over to a human before retrieval fails the customer.
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.
Access Control in a Document Assistant: Who Sees Which File
How to enforce permissions in a RAG document assistant: ingestion, query-time and post-retrieval filtering, and how to model ACLs as chunk metadata.
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.
How to Make an AI Assistant Cite the Documents It Used
Reliable citations come from the retrieval layer, not the model. How to design chunk ids, anchors and answer formats so an AI assistant links to real...
Choosing an Embedding Model for a Company Knowledge Base
How to pick an embedding model for a company knowledge base: start from your corpus, weigh hosted APIs against self-hosted weights, and measure retrieval.
What Retrieval Augmented Generation Actually Does for Your Documents
How retrieval augmented generation grounds answers in your own documents: ingestion, embedding, retrieval, generation, and why citations matter.
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