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 ...
techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
Geeky Gadgets

LangExtract and RAG : Smarter Retrieval with Metadata Filtering

What if the key to unlocking smarter, faster, and more precise data retrieval lay hidden in the metadata of your documents? Imagine querying a vast repository of technical manuals, only to be ...
dbta

RAG Has a Dirty Little Secret: Here’s How to Clean It Up and Get GenAI Right

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...