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

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Building an AI Chatbot That Answers Questions Using Private Data (RAG Overview)

Building an AI Chatbot That Answers Questions Using Private Data (RAG Overview)

1
Comments
2 min read
Multi-Tenant Design for Bedrock Knowledge Base: Solving the Account Limit with Metadata Filtering

Multi-Tenant Design for Bedrock Knowledge Base: Solving the Account Limit with Metadata Filtering

2
Comments
3 min read
I Built a TUI to Visualize RAG Chunking because chunk_size=1000 is a Lie 📉

I Built a TUI to Visualize RAG Chunking because chunk_size=1000 is a Lie 📉

Comments
3 min read
Introducing Agentic Chart Extraction

Introducing Agentic Chart Extraction

141
Comments 3
6 min read
The Client Who Wanted AI to "Remember Everything" (And Why That Was a Terrible Idea)

The Client Who Wanted AI to "Remember Everything" (And Why That Was a Terrible Idea)

Comments
5 min read
Building an Intelligent Legal Contract Auditor with Python

Building an Intelligent Legal Contract Auditor with Python

Comments
5 min read
A RAG-Free Technique That Makes LLM Outputs Stable, Predictable, and Auditable

A RAG-Free Technique That Makes LLM Outputs Stable, Predictable, and Auditable

Comments
2 min read
Course: Large Language Models and Generative AI for NLP — 2025

Course: Large Language Models and Generative AI for NLP — 2025

10
Comments 1
1 min read
Inside Memcortex: A Lightweight Semantic Memory Layer for LLMs

Inside Memcortex: A Lightweight Semantic Memory Layer for LLMs

1
Comments 1
4 min read
n8n: Confluence - AI Agent Chat with Page Content Grounding

n8n: Confluence - AI Agent Chat with Page Content Grounding

1
Comments
4 min read
Vector Database (OpenAI and Supabase )-Part 2 (Setup)

Vector Database (OpenAI and Supabase )-Part 2 (Setup)

11
Comments 1
6 min read
The Limitations of Text Embeddings in RAG Applications: A Deep Engineering Dive

The Limitations of Text Embeddings in RAG Applications: A Deep Engineering Dive

Comments
19 min read
Building a Hybrid-Private RAG Platform on AWS: From Prototype to Production with Python

Building a Hybrid-Private RAG Platform on AWS: From Prototype to Production with Python

Comments
7 min read
GraphRAG and Agentic Architecture: A Look Inside NeoConverse

GraphRAG and Agentic Architecture: A Look Inside NeoConverse

Comments
3 min read
Local RAG vs Cloud RAG: What Changes When You Leave the Demo

Local RAG vs Cloud RAG: What Changes When You Leave the Demo

Comments
3 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.