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Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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Reducing LLM Hallucinations in 2026: LoRA, F-DPO, and the Math That Actually Works
soumia_g_9dc322fc4404cecd profile

Reducing LLM Hallucinations in 2026: LoRA, F-DPO, and the Math That Actually Works

#rag #dpo #finetuning #marine
Comments 1
13 min read
# Meet Hippo 🦛: A Python Native Alternative to Ollama for Local LLM Management
zhangzeyu profile

# Meet Hippo 🦛: A Python Native Alternative to Ollama for Local LLM Management

#python #pgaichallenge #ai #rag
1
Comments
6 min read
RAG Series (17): Agentic RAG — Giving the Agent Control Over Retrieval
wonderlab profile

RAG Series (17): Agentic RAG — Giving the Agent Control Over Retrieval

#ai #rag #ragas #langchain
1
Comments 2
7 min read
The cracked mirror: why AI hallucination is structural, not a bug
thousand_miles_ai profile

The cracked mirror: why AI hallucination is structural, not a bug

#discuss #ai #llm #rag
1
Comments
6 min read
Building RAG Pipelines That Actually Work: Lessons from Microsoft Copilot
kennedyraju55 profile

Building RAG Pipelines That Actually Work: Lessons from Microsoft Copilot

#python #rag #ai #mojo
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9 min read
RAG Series (18): Conversational RAG — The Pronoun Problem in Multi-Turn Dialogue
wonderlab profile

RAG Series (18): Conversational RAG — The Pronoun Problem in Multi-Turn Dialogue

#ai #rag #ragas #langchain
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6 min read
"Spartans-GraphRAG: Token-Efficient Threat Intelligence with TigerGraph"
indra_20 profile

"Spartans-GraphRAG: Token-Efficient Threat Intelligence with TigerGraph"

#cybersecurity #devchallenge #llm #rag
2
Comments 1
4 min read
LLM Agent Workflows: Local AI Support, Prompt Tooling, & Claude Code API Costs
soytuber profile
soy

LLM Agent Workflows: Local AI Support, Prompt Tooling, & Claude Code API Costs

#ai #rag #automation
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4 min read
RAG vs GraphRAG: When to Use What (From a Builder’s Perspective)
system_rationale profile

RAG vs GraphRAG: When to Use What (From a Builder’s Perspective)

#ai #llm #rag #systemdesign
3
Comments
2 min read
Gemini API File Search: Enhanced Multimodal Capabilities with Embedding 2, Including Open-Source LINE Bot Implementation
evanlin profile

Gemini API File Search: Enhanced Multimodal Capabilities with Embedding 2, Including Open-Source LINE Bot Implementation

#api #gemini #llm #rag
13
Comments 3
11 min read
A 60-line Redis sink for ragvitals: production drift in the same Redis you already run

Redis AI Challenge: Beyond the Cache
mukundakatta profile

A 60-line Redis sink for ragvitals: production drift in the same Redis you already run

#redischallenge #redis #ai #rag
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5 min read
Build Your First AI Search in 30 Minutes: A Complete RAG Tutorial
qudratullahdev profile

Build Your First AI Search in 30 Minutes: A Complete RAG Tutorial

#rag #ai #python #machinelearning
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4 min read
Your RAG Chatbot Lies Because You're Chunking Wrong
southwestmogrown profile

Your RAG Chatbot Lies Because You're Chunking Wrong

#rag #python #llm #ai
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4 min read
RAG - Complete Practical Guide
tahaboussaden profile

RAG - Complete Practical Guide

#rag #ai #llm #pinecone
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5 min read
Behind the chat interface: orchestration, memory, caching, eval — the full picture
pragadeesh122 profile

Behind the chat interface: orchestration, memory, caching, eval — the full picture

#architecture #llm #rag #systemdesign
Comments 1
9 min read
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