AIQB
TutorialsOrdinary

RAG always needs a dedicated vector database — challenged

Source: DEV Community·

Summary

Hot take: you don't need a vector database for RAG. Most teams reach for a purpose-built vector...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-635bbb9d87b2654e8555da33
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
My Agent Remembered the Fix and Was Wrong
Last month my incident-recovery agent looked at a failing search query, remembered it had fixed the...
Source: DEV Community
TutorialsOrdinary
The Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?
The persistent instinct in AI engineering is to treat model reasoning as an unalloyed capital asset:...
Source: DEV Community
TutorialsOrdinary
RepoMind: A Self-Evolving Code Review Agent That Remembers How Your Team Builds Software
RepoMind: A Self-Evolving Code Review Agent That Remembers How Your Team Builds Software Code review...
Source: DEV Community
TutorialsOrdinary
Context Compression for Coding Agents Compresses the Wrong Side of the Prompt
Most engineering teams working on long-context agents hit the same billing wall around turn twenty. A...
Source: DEV Community
TutorialsOrdinary
The Overnight Speed Loop: Asking AI Agents to Make Code 7x Faster
Here is a sentence that would have sounded insane eighteen months ago: a developer pointed a coding...
Source: DEV Community
TutorialsOrdinary
I built a PDF reader where every note remembers its page
Every time I read a long PDF (a paper, a spec, a book chapter) ended up with the same mess: a list of...
Source: DEV Community
TutorialsOrdinary
Building a Restaurant Finder With $0 in API Costs (OpenStreetMap, Open-Meteo, No Google Maps)
VibeEats is a small food-discovery app: pick a mood ("cozy," "date night," "quick bite"), or search...
Source: DEV Community
TutorialsOrdinary
Three things AI agents did on the web, and what they mean for people who build agents
Three real cases show how AI agents can cause problems even when they work as designed — and six lessons for anyone building agents for the web.
Source: DEV Community
TutorialsOrdinary
SatQuery Al: Building a Conversational System for Satellite-Image Analysis
SatQuery AI: Building a Conversational System for Satellite-Image Analysis I built SatQuery AI around...
Source: DEV Community
TutorialsOrdinary
How to Build an AI-Ready Customer Profile
Connecting an AI application to a CRM or a customer data warehouse is relatively easy. The harder...
Source: DEV Community