Ειδήσεις: VECTOR SEARCH | PXAI

Version	Description	Date
8.42	[ADDED SOURCE REGISTRY LIST VIEW]	04/03/2026 16:19
8.41	[LOCALIZED INDEX.PHP MENU AND MODALS TO US ENGLISH]	04/03/2026 16:11
8.40	[TRANSLATED FRONTEND TO US ENGLISH]	04/03/2026 16:10
8.41	[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]	04/03/2026 15:50
8.41	[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]	04/03/2026 15:46
8.40	[REVERTED TO STANDARD TABLE LAYOUT (US ENGLISH)]	04/03/2026 15:40
8.39	[FIXED DB CONNECTION SCOPE IN SOURCES LOGIC]	04/03/2026 15:38
8.38	[TRANSLATED SOURCES VIEW TO US ENGLISH]	04/03/2026 15:01
8.37	[FULL FRONTEND TRANSLATION (MENU, FEED, COMMENTS, TTS) TO US ENGLISH.]	04/03/2026 14:58
8.67	[MANUAL OVERRIDE OF GREEK MENU ITEMS]	04/03/2026 13:36
8.66	[NGINX OPTIMIZED MENU FIX]	04/03/2026 13:33
8.65	[FIXED GREEK MENU ITEMS]	04/03/2026 13:32
8.60	[MENU & UI LOCALIZATION TO US ENGLISH]	04/03/2026 13:30
8.50	[FULL TRANSLATION TO US ENGLISH]	04/03/2026 13:27
9.75	[INJECTED EVENT FUSION_SUMMARY INTO FEED LOOPS TO DISPLAY AI TAGS CORRECTLY]	26/02/2026 14:44

25/03 07:38 dev.to

Giving AI Agents “Live Memory” with Aurora Zero-ETL and Redshift Vector Search

AI agents live memory Aurora Zero‑ETL Redshift vector search situational awareness goldfish problem

23/03 00:20 dev.to

How I Got 12 Number One Rankings on ClawHub in 5 Days

ClawHub search ranking slug keyword optimization vector search video editing skills

20/03 10:53 dev.to

Which Embedding Model Should You Actually Use in 2026? I Benchmarked 10 Models to Find Out

embedding models Gemini Embedding 2 RAG vector search benchmark MTEB

18/03 11:42 dev.to

Building a Local RAG Pipeline on Mobile: Vector Search with SQLite, On-Device Embeddings, and a Shared KMP Architecture

offline search mobile RAG vector search Kotlin Multiplatform Android ONNX Runtime

17/03 09:56 dev.to

Beyond Vector Search: Building a "Reasoning Engine" in Copilot Studio

vector search RAG Copilot Studio reasoning engine EU AI Act PageIndex

12/03 22:32 venturebeat.com

Agents don't replace vector search - they make it harder to get right

Vector search Agents Qdrant RAG Large language models Database

12/03 22:32 venturebeat.com

Agents don't replace vector search - they make it harder to get right

Vector search Agents Qdrant RAG Large language models Database

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