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.
RAG Research: Bridging the Gap Between LLMs and Knowledge

RAG Research: Bridging the Gap Between LLMs and Knowledge

Comments
3 min read
Zero-Downtime Embedding Migration: Switching from text-embedding-004 to text-embedding-3-large in Production

Zero-Downtime Embedding Migration: Switching from text-embedding-004 to text-embedding-3-large in Production

Comments
3 min read
Hybrid RAG System over SEC Filings

Hybrid RAG System over SEC Filings

Comments
19 min read
Beyond the Context Window: Choosing Between RAG and MCP

Beyond the Context Window: Choosing Between RAG and MCP

Comments
3 min read
Dev Log: Building a Secure RAG Agent for 150k Records

Dev Log: Building a Secure RAG Agent for 150k Records

1
Comments
3 min read
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Comments
4 min read
I Built Vector-Only Search First. Here's Why I Had to Rewrite It.

I Built Vector-Only Search First. Here's Why I Had to Rewrite It.

Comments
4 min read
I built a RAG system where hallucinations aren't acceptable. Here's what actually worked.

I built a RAG system where hallucinations aren't acceptable. Here's what actually worked.

Comments
5 min read
RAG Recall vs Precision: A Practical Diagnostic Guide for Reliable Retrieval

RAG Recall vs Precision: A Practical Diagnostic Guide for Reliable Retrieval

5
Comments
3 min read
Apex B. OpenClaw, Local Embeddings.

Apex B. OpenClaw, Local Embeddings.

Comments
2 min read
Codebase Intelligence

Codebase Intelligence

Comments
1 min read
Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform

Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform

Comments
12 min read
Advanced RAG: Parsing Complex Medical PDFs with LayoutLMv3 and LlamaIndex

Advanced RAG: Parsing Complex Medical PDFs with LayoutLMv3 and LlamaIndex

1
Comments
3 min read
What we learned from 100+ production RAG deployments (free 118-page handbook)

What we learned from 100+ production RAG deployments (free 118-page handbook)

Comments
1 min read
Building a Cloud-Native Agentic AI Research App: A Comprehensive Deep Dive into pgvector, Remix, and Multimodal LLMs

Building a Cloud-Native Agentic AI Research App: A Comprehensive Deep Dive into pgvector, Remix, and Multimodal LLMs

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