DEV Community

# rag

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

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Using RAG architecture for generative tasks

Using RAG architecture for generative tasks

Comments
4 min read
Unlocking Data Insights: A Semantic Search App with MindsDB and Django

Unlocking Data Insights: A Semantic Search App with MindsDB and Django

5
Comments 1
12 min read
🧠 Emergent Thought Through Looped Conflict

🧠 Emergent Thought Through Looped Conflict

2
Comments
3 min read
How I Built a RAG Chatbot in 45 Minutes (No Coding!)

How I Built a RAG Chatbot in 45 Minutes (No Coding!)

1
Comments
2 min read
Unlocking AI’s Full Potential: The Power of Synthetic Data Generation with Docling SDG

Unlocking AI’s Full Potential: The Power of Synthetic Data Generation with Docling SDG

Comments 1
25 min read
Semantic Code Search

Semantic Code Search

1
Comments
4 min read
Comparative Study of LLMs vs. RAG and AI Agents vs. Agentic AI

Comparative Study of LLMs vs. RAG and AI Agents vs. Agentic AI

Comments 2
3 min read
🧠 Build Your Own RAG System in 2025 — From Query to Answer

🧠 Build Your Own RAG System in 2025 — From Query to Answer

Comments
1 min read
Generative AI Meets Edge: Deploying Foundation Models with AWS IoT Greengrass

Generative AI Meets Edge: Deploying Foundation Models with AWS IoT Greengrass

4
Comments
5 min read
Um Projeto Prático para Estudar RAG: Análise Qualitativa de Código com LLMs Locais

Um Projeto Prático para Estudar RAG: Análise Qualitativa de Código com LLMs Locais

Comments 1
7 min read
How GenAI Gets Smarter: The Power of Context with RAG

How GenAI Gets Smarter: The Power of Context with RAG

2
Comments
3 min read
Advanced Prompting Techniques and Embeddings in AI

Advanced Prompting Techniques and Embeddings in AI

Comments
4 min read
Supercharging Retrieval-Augmented Generation with NodeRAG: A Graph-Centric Approach

Supercharging Retrieval-Augmented Generation with NodeRAG: A Graph-Centric Approach

Comments
5 min read
🧠 RAG in Minutes with MultiMind SDK — No LangChain Needed

🧠 RAG in Minutes with MultiMind SDK — No LangChain Needed

4
Comments
2 min read
How AI Agents Empower Small Businesses for Global Success

How AI Agents Empower Small Businesses for Global Success

5
Comments
4 min read
How to Evaluate RAG Applications with Amazon Bedrock Knowledge Base Evaluation

How to Evaluate RAG Applications with Amazon Bedrock Knowledge Base Evaluation

Comments
16 min read
⚡️ BREAKING: Docling Unlocks ASR (automatic speech recognition) Power!

⚡️ BREAKING: Docling Unlocks ASR (automatic speech recognition) Power!

1
Comments
5 min read
Secure Local RAG with Role-Based Access: Spring AI, Ollama & MongoDB

Secure Local RAG with Role-Based Access: Spring AI, Ollama & MongoDB

15
Comments
14 min read
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

2
Comments
12 min read
Open-Source AI Stacks for E-Commerce (2025 Guide)

Open-Source AI Stacks for E-Commerce (2025 Guide)

Comments
7 min read
Engineering a Production-Grade RAG Pipeline with Gemini & Qdrant (Design Guide + Code)

Engineering a Production-Grade RAG Pipeline with Gemini & Qdrant (Design Guide + Code)

Comments
8 min read
A Complete Guide to Retrieval-Augmented Generation

A Complete Guide to Retrieval-Augmented Generation

6
Comments
8 min read
Semantic Similarity Score for AI RAG

Semantic Similarity Score for AI RAG

Comments
1 min read
RAG Made Simple: Simplicity’s Approach to Modular Retrieval & Generation (Part 1)

RAG Made Simple: Simplicity’s Approach to Modular Retrieval & Generation (Part 1)

Comments
3 min read
RAG to Riches

RAG to Riches

Comments 4
3 min read
loading...