Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

This tree search framework hits 98.7% on documents where vector search fails

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
InfoWorld

Haystack review: A flexible LLM app builder

Haystack is an open-source framework for building applications based on large language models (LLMs) including retrieval-augmented generation (RAG) applications, intelligent search systems for large ...
WGHP

Privacera Enhances AI Governance Solution with New Access Control and Data Filtering Functionality for Vector DB/RAG

FREMONT, Calif., April 15, 2024 /PRNewswire/ -- Privacera, the AI and data security governance company founded by the creators of Apache Ranger™, has announced the addition of new access control and ...
ZDNet

Make room for RAG: How Gen AI's balance of power is shifting

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...
SiliconANGLE

Evaluating MongoDB Atlas Vector Search

News flash: Vector databases and vector searches are no longer a differentiation. Yes, how fast times change as what was cool just six months ago is suddenly table stakes! What is cool is a unified ...