#Vector

Most engineers see quantization as shrinking vectors. TurboQuant asks a harder question: can you shrink them without breaking their geometry?

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In this article, you will learn how to implement vector similarity search in PostgreSQL using the pgvector extension, allowing you to find semantically similar results based on meaning rather than keyword matching.

Designing Reverse Image Search: The Architecture Behind Google Images Ever wondered how...

Explore vector embeddings, their function in AI, types like Word2Vec and BERT, applications in semantic search and NLP, and implementation considerations for de

From Dev.to - database: PostgreSQL JSON Ext., Vector Search, & SQLite Window Func Overflow

Some of the applications I build use MongoDB. MongoDB community server is the most common MongoDB...

Today, we're launching the public preview of Zilliz Vector Lakebase — the next chapter for Zilliz...

From Dev.to - ai: RAG Series (16): Graph RAG — Using Knowledge Graphs to Solve Multi-Hop Reasoning

Build production-ready recommendation systems using embeddings, vector search, hybrid filtering, and LLM-powered personalization.

From Dev.to - python: I Built My First AI Infrastructure Package for Python — Introducing NeuroMesh AI 🚀

From Dev.to - machinelearning: You Don't Have to Fine-Tune Your LLM to change it's Behavior. You Can Just… Steer It.

From Dev.to - database: Oracle AI Database 26ai: Relational Integrity, Vector Search, and AI-Ready Financial Workflows

Implementing biometric verification at scale is no longer a theoretical exercise for high-security...

This article was written by Erik Hatcher. This is the third and final article of this hybrid search...

Why AI-Native Databases Are Replacing Traditional Vector Stores For the past year, 'Vector...

Compare pre-rendered vs on-the-fly tiles: balance cost, latency, freshness, storage and compute, plus hybrid caching strategies for production maps.

RAG systems need good retrieval before they can generate useful answers. Most examples focus on...

Optimize vector database performance: index parameter tuning, search configuration for speed and accuracy, and hybrid search implementation.

From Dev.to - ai: RetrievalOps | Azure AI Search Relevance Engineering | A R.A.H.S.I. Framework™ Analysis