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

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

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 ...

Check out Supabase: https://supabase.plug.dev/qnxeTMY ❤️ Get 40% OFF CodeCrafters: ...

During this presentation, we will talk about: ‌- Introduction to vector databases ‌- Use cases for vector databases ‌- Vector database ...

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

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

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 ...

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

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

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

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

Watch tech videos https://www.usatamilan.com Artificial Intelligence - https://youtu.be/z-vBHbourKs?si=tHdeGTxxjD6OM5_F LLM ...

Learn the concept clearly in under 1 minutes, explained step-by-step with examples! About MLQs Café Welcome to MLQs Café ...

Vector databases are a core building block of modern AI systems — from semantic search to RAG and AI agents. In this video, we ...

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

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

Vector search in relational databases is rapidly evolving, with new algorithms and types of indexes emerging, as well as new data ...

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

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

How it compares with other vector databases. How to configure it. Everything you need to know to start using #mariadb Vector in ...

In this video, Barry Yuan introduce some foundational concepts in AI systems - models, agents, workflows, knowledge bases, ...

From there, the document is uploaded into Pinecone, a vector database perfect for use in AI agents and smart search tools.