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 www.danieldemmel.me
Understanding embeddings and how to use them for semantic search
| | lantern.dev
Hybrid Vector Search in Postgres | Lantern Blog
2.4 parsecs away

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| | Hybrid vector search combines the strengths of sparse and dense vector searches to improve search quality. We evaluate its performance on several datasets from the BEIR framework using Postgres.
| | garrit.xyz
How embedding models encode semantic meaning | Garrit's Notes
2.1 parsecs away

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| | Generalist software developer writing about scalable infrastructure, fullstack development and DevOps practices.
| | www.singlestore.com
A Beginner's Guide to Vector Embeddings
2.3 parsecs away

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| | Wondering what vector embeddings are? Dive into this beginner's guide to understand their concept, applications and implementation.
| | amanhimself.dev
Build a REST API with Node.js and HarperDB | amanhimself.dev
22.8 parsecs away

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| [AI summary] This tutorial guides developers on building a REST API with Node.js and Express by connecting to HarperDB Cloud, covering setup and CRUD operations. Category programming is most relevant because the post is a software development tutorial focused on coding, frameworks, and API creation. Cloud computing is also relevant as it specifically teaches how to use and configure a cloud-based database service. Computer science is a close second regarding the technical subject matter of databases and application development logic. Technology broadly covers the general tools and programming languages discussed. Engineering is a final option as it relates to software engineering practices like API design and database integration.