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.
Security Controls in Enterprise RAG: Keys, Audit Logs, and the Hierarchy That Prevents Role Elevation

Security Controls in Enterprise RAG: Keys, Audit Logs, and the Hierarchy That Prevents Role Elevation

Comments
5 min read
Three Design Decisions That Shaped the Enterprise RAG Retrieval Pipeline

Three Design Decisions That Shaped the Enterprise RAG Retrieval Pipeline

Comments
5 min read
Why RAG Isn't Enough: Building RationaleVault for Cognitive Continuity

Why RAG Isn't Enough: Building RationaleVault for Cognitive Continuity

Comments 1
4 min read
Bikin Chatbot Sendiri yang Bisa Jawab Pertanyaan dari Dokumen kamu

Bikin Chatbot Sendiri yang Bisa Jawab Pertanyaan dari Dokumen kamu

Comments
6 min read
Resolving inter-service communication issue

Resolving inter-service communication issue

Comments
5 min read
Which is better Agent Traversing or Querying their memory?

Which is better Agent Traversing or Querying their memory?

6
Comments 4
1 min read
AI Basics You MUST Understand Before Building AI Agent

AI Basics You MUST Understand Before Building AI Agent

1
Comments
2 min read
RAG in production: the failure modes nobody warns you about

RAG in production: the failure modes nobody warns you about

2
Comments 2
3 min read
I added a reranker to my RAG pipeline — it broke everything, then I fixed it

I added a reranker to my RAG pipeline — it broke everything, then I fixed it

1
Comments 3
5 min read
How to Use LangChain Deep Agents with Azure Cosmos DB – Plan, act, and verify against operational data

How to Use LangChain Deep Agents with Azure Cosmos DB – Plan, act, and verify against operational data

5
Comments
10 min read
Agentic RAG with OpenSearch Serverless: Anatomy of a Pattern

Agentic RAG with OpenSearch Serverless: Anatomy of a Pattern

Comments 1
9 min read
Contract Intelligence on AWS: Field-Notes Architecture

Contract Intelligence on AWS: Field-Notes Architecture

Comments
10 min read
Bedrock Managed Knowledge Base: Anatomy of a Managed RAG Pipeline

Bedrock Managed Knowledge Base: Anatomy of a Managed RAG Pipeline

Comments
10 min read
Your RAG faithfulness check is measuring copy-paste, not faithfulness

Your RAG faithfulness check is measuring copy-paste, not faithfulness

2
Comments 6
5 min read
Applied AI: From Agent Orchestration to Workflow Automation & Code Generation

Applied AI: From Agent Orchestration to Workflow Automation & Code Generation

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