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 ...

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 ...
JD Supra

Unpacking Averages: Searching for Bias in Word Embeddings Trained on FDA Regulatory Documents

This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of ...
InfoQ

Practical Advice for Retrieval Augmented Generation (RAG), by Sam Partee at QCon San Francisco

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
Crowdfund Insider

Artificial Intelligence: Ocrolus Adds OpenAI GPT Embeddings for Deeper Automation in ...

Ocrolus, a key player focused on AI-driven document automation for faster and more accurate lending decisions, announced it has integrated GPT embeddings from OpenAI into its set of technologies. The ...
Geeky Gadgets

Easily analyze PDF documents using AI and Ollama

If you’re looking for ways to use artificial intelligence (AI) to analyze and research using PDF documents, while keeping your data secure and private by operating ...