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 ...
datanami.com

Neo4j Finds the Vector for Graph-LLM Integration

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...
VentureBeat

Exclusive: VectorShift raises $3M to modularize LLM application development

Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 ...
Benzinga.com

Dnotitia Secures 16 Billion KRW Government Projects to Advance Vector Database Technology for LLM

Dnotitia, an innovative AI startup, has won two major South Korean government projects worth 16 billion KRW. SEOUL, SOUTH KOREA, September 10, 2024 /EINPresswire.com ...
InfoWorld

Vector databases in LLMs and search

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...
InfoQ

Generative Search: Practical Advice for Retrieval Augmented Generation (RAG)

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...