For those who have built RAG once: The new book 'Vector Databases' is easier to understand as a 'second book'

When you start learning about RAG, you encounter the term "vector database" quite early on.Create embeddings. Search for ...

[Part 8] Reviewing Authorization Design Before Implementing RAG in AI | Weaknesses of Vectors and Embeddings (LLM08:2025)

Hello! This is the PR department of EQUES Inc., a startup from the Matsuo Lab at the University of Tokyo 🐎Based on the ...
VentureBeat

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

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...
InfoWorld

Retrieval-augmented generation, step by step

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...
InfoWorld

AWS looks to cut storage costs for LLM embeddings with Amazon S3 Vectors

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, and querying vectors by up to 90% compared to using a vector database, a ...
techtarget

Databricks adds vector search, new LLM support to AI suite

Databricks on Wednesday made vector search generally available in a move aimed at helping customers develop accurate generative AI models and applications. In addition, the vendor added capabilities ...
techtarget

MongoDB adds new vector, performance capabilities to aid AI

As MongoDB expands beyond its database roots to create a unified data platform for running AI tools in production, the vendor is adding new vector indexing capabilities and improving the performance ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...