Displaying items by tag: Glean

COMPANY NEWS: Data preparation and ingestion is one of the biggest challenges when building a genAI application. Developers are faced with converting massive amounts of existing data, in different formats, into a format suitable for use in retrieval-augmented generation (RAG). Often these documents are too large for embedding models to ingest and must be broken up into smaller segments or chunked.

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