#VectorDatabase

From Dev.to - beginners: Building a Personal AI Second Brain: Architecture Decisions That Actually Mattered

ChromaDB is an open-source vector database designed for AI applications. It stores embeddings...

Memory bloat, compaction loss, and a retrieval-first path: ~32% less token spend on the AppWorld dev...

A four-part series on responsible automation, why the tools we built first failed, and how VEKTOR...

From Dev.to - database: Cloud Embeddings vs. Local Sovereign Memory: AI Agent Memory Layer Compared (2026)

Most "vector database comparison" posts you'll find online were written in 2023, when pgvector was a...

Whisper hallucinations, a regex-vs-LLM tradeoff, why the "dumber" model structured sermons better,...

In this article, we’ll explore the basics of Vector Databases (Vector DBs) and why they are the...

Two Root Causes Behind LLM "Hallucinations" Anyone who has worked with large language...

You spent three days writing a migration script for 4,900 vectors. Then you switched vector DBs....

From Dev Community: Understanding Text Similarity with Embeddings and Cosine Similarity

Understanding How Modern Systems Interpret User Intent Modern platforms like YouTube and...

Simple, keyword-based database queries are often inadequate for user searches because they struggle...

One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings...

This content is based on a talk that my colleague Tim Kelly and I presented at DevNexus 2026 in...

From Dev.to - python: Building PitchRoom: AI-Powered Script Discovery using Flask & MongoDB Vector Search

Vector search finds “what it’s like.” Full-text search finds “what it says.” Relational filters...