Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...

What happens when your AI-powered retrieval system gives you incomplete or irrelevant answers? Imagine searching a compliance document for a specific regulation, only to receive fragmented or ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

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Let’s say there are 100 pages in a PDF document. You make a critical preprocessing decision – chunking strategy. You divide the 100-page document into 100 chunks (one chunk per page). You use an ...