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

πŸ‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
What is RAG and how Alibaba Cloud Elasticsearch enhances AI search with retrieval-augmented generation

What is RAG and how Alibaba Cloud Elasticsearch enhances AI search with retrieval-augmented generation

Comments
12 min read
Beyond the Black Box: Unpacking CoT, RAG, and RAT for Smarter AI

Beyond the Black Box: Unpacking CoT, RAG, and RAT for Smarter AI

Comments
3 min read
I Built Pocket Flow, an LLM Framework in just 100 Lines β€” Here is Why

I Built Pocket Flow, an LLM Framework in just 100 Lines β€” Here is Why

5
Comments
8 min read
Efficiently process large files for RAG

Efficiently process large files for RAG

1
Comments
3 min read
Figure Export from Docling β€” Exporting PDF to image

Figure Export from Docling β€” Exporting PDF to image

2
Comments
3 min read
Code Explanation: "Minions: Collaborative On-Device and Cloud LLMs"

Code Explanation: "Minions: Collaborative On-Device and Cloud LLMs"

1
Comments
6 min read
Building a Multi-modal Production RAG

Building a Multi-modal Production RAG

Comments
2 min read
Virtual Research Analyst - Harnessing Agentic and Multi-modal RAG

Virtual Research Analyst - Harnessing Agentic and Multi-modal RAG

Comments
1 min read
Is RAG Still Needed? Retrieval Beyond Vector Embeddings

Is RAG Still Needed? Retrieval Beyond Vector Embeddings

1
Comments
3 min read
Introduction to branched RAG

Introduction to branched RAG

3
Comments
3 min read
Multilevel RAG

Multilevel RAG

Comments
4 min read
Build AI Agent Memory From Scratch β€” Tutorial For Dummies

Build AI Agent Memory From Scratch β€” Tutorial For Dummies

7
Comments 4
12 min read
RAG: What, Why and How

RAG: What, Why and How

Comments
6 min read
How Vector Search is Changing the Game for AI-Powered Discovery

How Vector Search is Changing the Game for AI-Powered Discovery

Comments
5 min read
How docs AI search works: Mintlify-Style with OpenAI Agents SDK

How docs AI search works: Mintlify-Style with OpenAI Agents SDK

11
Comments
3 min read
Best AI Setups for Multi-Agent Workflows in KaibanJS

Best AI Setups for Multi-Agent Workflows in KaibanJS

Comments
3 min read
Thriving as a Personal Tech Consultant: Navigating the AI Revolution

Thriving as a Personal Tech Consultant: Navigating the AI Revolution

2
Comments
6 min read
Generic RAG Frameworks: Why They Can’t Catch On

Generic RAG Frameworks: Why They Can’t Catch On

17
Comments
5 min read
DIY β€” Building a Cost-Effective Questionnaire Automation with Bedrock

DIY β€” Building a Cost-Effective Questionnaire Automation with Bedrock

2
Comments
3 min read
Extracting code snippets from a call graph for LLM context

Extracting code snippets from a call graph for LLM context

Comments
3 min read
Exploring RAG: Hypothetical Document Embeddings (HyDE)

Exploring RAG: Hypothetical Document Embeddings (HyDE)

1
Comments
2 min read
Let’s Build HealthIQ AI β€” A Vertical AI Agent System

Let’s Build HealthIQ AI β€” A Vertical AI Agent System

Comments
2 min read
Announcing Kreuzberg v2.0: A Lightweight, Modern Python Text Extraction library

Announcing Kreuzberg v2.0: A Lightweight, Modern Python Text Extraction library

Comments
2 min read
Corrective Retrieval-Augmented Generation: Enhancing Robustness in AI Language Models

Corrective Retrieval-Augmented Generation: Enhancing Robustness in AI Language Models

Comments
2 min read
Enhancing Retrieval-Augmented Generation with SurrealDB

Enhancing Retrieval-Augmented Generation with SurrealDB

8
Comments
22 min read
loading...