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 ...
Join DBTA and Elastic as we explore advanced techniques in retrieval augmented generation (RAG). This talk provides developers, data scientists, and AI enthusiasts with essential insights to elevate ...
The OpenAI Responses API is a robust and versatile tool designed to streamline the development of Retrieval-Augmented Generation (RAG) systems. By automating intricate processes such as document ...
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Google issues warning to publishers: AI-driven ‘content chunking’ won’t boost search rankings
Google has warned publishers not to rewrite content just to please AI tools like Gemini. It says the popular “content chunking” trend does not improve search rankings.
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