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.
How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

Comments
4 min read
RAG-based Presentation Generator built with Kiro

RAG-based Presentation Generator built with Kiro

12
Comments
6 min read
Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

Comments
2 min read
Renting GPT vs. Building Your Own AI: The True Cost of Chatbots

Renting GPT vs. Building Your Own AI: The True Cost of Chatbots

Comments
3 min read
**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**

**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**

Comments
2 min read
Moving Your Vector Database from ChromaDB to Milvus

Moving Your Vector Database from ChromaDB to Milvus

2
Comments 1
10 min read
Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code

Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code

1
Comments
9 min read
Comprehensive Guide to Selecting the Right RAG Evaluation Platform

Comprehensive Guide to Selecting the Right RAG Evaluation Platform

Comments
7 min read
Build a Production Multi-Agent System with LangGraph and LaunchDarkly in 20 Minutes

Build a Production Multi-Agent System with LangGraph and LaunchDarkly in 20 Minutes

Comments 1
9 min read
Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

Comments
8 min read
Extending AI Agents by Adding Infinite Context Memory

Extending AI Agents by Adding Infinite Context Memory

4
Comments 6
3 min read
The hidden cost of evaluation loops

The hidden cost of evaluation loops

Comments
1 min read
Batch Vector Search with PgVector and PostgreSQL Using Cross Lateral Joins

Batch Vector Search with PgVector and PostgreSQL Using Cross Lateral Joins

Comments
6 min read
The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

2
Comments
3 min read
NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines

NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines

Comments
10 min read
Does anyone know what will be sent to LLM when I use Github copilot?

Does anyone know what will be sent to LLM when I use Github copilot?

Comments 3
1 min read
From Brittle to Brilliant: A Developer's Guide to Building Trustworthy Graph RAG with Local LLMs

From Brittle to Brilliant: A Developer's Guide to Building Trustworthy Graph RAG with Local LLMs

2
Comments
3 min read
Lessons & Practices for Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA

Lessons & Practices for Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA

1
Comments
6 min read
🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

Comments
4 min read
Building a RAG System with Vertex AI, Pinecone, and LangChain (Step-by-Step Guide)

Building a RAG System with Vertex AI, Pinecone, and LangChain (Step-by-Step Guide)

3
Comments
6 min read
Building NeuroStash - VI

Building NeuroStash - VI

Comments
3 min read
Building with Generative AI: Lessons from 5 Projects Part 1: RAG

Building with Generative AI: Lessons from 5 Projects Part 1: RAG

Comments
8 min read
How to make Cursor an Agent that Never Forgets and 10x your productivity

How to make Cursor an Agent that Never Forgets and 10x your productivity

Comments
4 min read
How the Pool Pattern Works in Multi-tenant RAG

How the Pool Pattern Works in Multi-tenant RAG

Comments
2 min read
SuperOptiX Memory: A Practical Guide for Building Agents That Remember

SuperOptiX Memory: A Practical Guide for Building Agents That Remember

Comments
6 min read
loading...