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An architecture session, contrasting the layout of Vespa with that of more familiar search engines like Elasticsearch. Explains how ...

Vectors are such an important part of AI, and the embeddings they help create, but when you Google what they are, its less than ...

The session introduces fundamental concepts of vector databases, including how they store and process embedded meanings of ...

Learn from Rody Davis, Senior Developer Relations Engineer at Google, how to query and embed documents using SQLite and ...

2025 Southeast Linuxfest: This talk explores many of the advances that has fueled this explosion, including multi-dimensional ...

Struggling to figure out where to store AI embeddings? In this tutorial, we show how to use PostgreSQL with PGVector to store and ...

Breaking down Retrieval-Augmented Generation (RAG)—a powerful AI technique that enhances large language models (LLMs) ...

From R+AI 2025, hosted by R Consortium Mark Hornick, Senior Director, Oracle Machine Learning Sherry LaMonica, Consulting ...

(Vector Databases Explained) 5:06 – Step 1: Setting Up Google Drive Trigger 7:16 – Step 2: Processing & Chunking Documents ...

This talk dives into the world of vector databases, an essential tool for handling complex data in machine-learning applications.

Unstructured data makes up more than 80% of enterprise data and traditional search tools just can't keep up. In this episode of ...

The implementation of semantic search can be complex and many adopt the strategy of using dedicated *vector databases,* in ...

The session introduces fundamental concepts of vector databases, including how they store and process embedded meanings of ...

Talk by Nuri Halperin https://www.socallinuxexpo.org/scale/22x/presentations/vector-search-right-me Is the term "AI" obfuscating ...

Etienne Dilocker, co-founder of Weaviate, talked to the CMU DB class, describing how Weaviate and vector search fit into the ...

AI applications are changing how we use databases, and vector data is at the center of this change. By enabling semantic search ...

More: https://2025.berlinbuzzwords.de/sessions/Mixture-of-Encoders-A-Vector-Native-Approach-to-Search Speaker: Filip ...

The landscape of AI models is rapidly evolving, with vector databases, retrieval-augmented generation (RAG), and small ...

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15445.courses.cs.cmu.edu/fall2025/slides/09-indexes2.pdf Notes: ...

Vector Databases: Performance and Applications The meeting focused on discussing vector databases and their applications.