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v8.42
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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
PXAI Audio Feed
+5
ΟΛΑ
02/04 05:42
dev.to
What RAG Is: The Pattern That Grounds AI in Reality
RAG
Retrieval‑Augmented Generation
AI accuracy
customer support
policy retrieval
TechNova
02/04 02:23
dev.to
Build a RAG Pipeline in Java (Text Vector LLM, No Paid APIs)
RAG
Java
PostgreSQL
Ollama
local LLM
vector embeddings
01/04 23:01
dev.to
An Engineering-grade breakdown of RAG Pipeline
RAG
Retrieval‑Augmented Generation
LLM
hallucination reduction
vector store
knowledge retrieval
01/04 19:54
dev.to
# I Built an AI That Understands Any GitHub Repo Using LangChain and ChromaDB
GitHub
LangChain
ChromaDB
Retrieval‑Augmented Generation
code search
developer tools
01/04 19:37
dev.to
Building Production RAG Systems in .NET 10: The Complete Guide to Embeddings
RAG
embeddings
.NET 10
hallucination
LLM
retrieval‑augmented generation
01/04 17:30
dev.to
Building a RAG Pipeline From Scratch With LangChain + Pinecone + Claude: A Real Implementation
RAG
LangChain
Pinecone
Claude
Retrieval‑Augmented Generation
production AI
01/04 07:16
dev.to
Beyond Static RAG: Using 1958 Biochemistry to Beat Multi-Hop Retrieval by 14%
Induced‑Fit Retrieval
multi‑hop QA
Retrieval‑Augmented Generation
graph traversal
vector mutation
nDCG
01/04 05:58
dev.to
Why Domain Knowledge Is the Core Architecture of Fine-Tuning and RAG — Not an Afterthought
foundation models
domain knowledge
fine‑tuning
Retrieval‑Augmented Generation
specialized domains
AI architecture
01/04 04:06
dev.to
Build an End-to-End RAG Pipeline for LLM Applications
RAG
Retrieval‑Augmented Generation
LLM
Generative AI
Knowledge Integration
Real‑time Data
01/04 04:06
dev.to
Build an End-to-End RAG Pipeline for LLM Applications
RAG
Retrieval‑Augmented Generation
LLM
Generative AI
Knowledge Integration
Real‑time Data
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