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.
Does Agentic RAG Actually Help When Your Retrieval Is Bad?

Does Agentic RAG Actually Help When Your Retrieval Is Bad?

Comments
4 min read
Code-Graph-RAG, เปลี่ยน Codebase ทั้งหมดให้เป็น Knowledge Graph ให้ AI เข้าใจโค้ดของคุณอย่างแท้จริง

Code-Graph-RAG, เปลี่ยน Codebase ทั้งหมดให้เป็น Knowledge Graph ให้ AI เข้าใจโค้ดของคุณอย่างแท้จริง

Comments
3 min read
Rebuilding the Cerebras Knowledge Base: the web UI and a look back

Rebuilding the Cerebras Knowledge Base: the web UI and a look back

Comments
5 min read
Rebuilding the Cerebras Knowledge Base: planner, tools, and synthesis

Rebuilding the Cerebras Knowledge Base: planner, tools, and synthesis

Comments
6 min read
Rebuilding the Cerebras Knowledge Base: an LLM reranker

Rebuilding the Cerebras Knowledge Base: an LLM reranker

Comments
5 min read
Rebuilding the Cerebras Knowledge Base: an MCP server

Rebuilding the Cerebras Knowledge Base: an MCP server

Comments
4 min read
Rebuilding the Cerebras Knowledge Base: LLM distillation and bursting

Rebuilding the Cerebras Knowledge Base: LLM distillation and bursting

Comments
5 min read
Generative AI Developer Career Path — Beyond AI Fundamentals (2026)

Generative AI Developer Career Path — Beyond AI Fundamentals (2026)

Comments
7 min read
LLMOps for Production RAG: Observability & Cost Guide

LLMOps for Production RAG: Observability & Cost Guide

2
Comments 1
4 min read
Vector Similarity Search with DuckDB: A Practical Guide to the VSS Extension

Vector Similarity Search with DuckDB: A Practical Guide to the VSS Extension

1
Comments 2
6 min read
Building a RAG-Powered Code Review Assistant with PHP, Ollama, and Qdrant

Building a RAG-Powered Code Review Assistant with PHP, Ollama, and Qdrant

Comments
21 min read
Construire un assistant de code review RAG avec PHP, Ollama et Qdrant

Construire un assistant de code review RAG avec PHP, Ollama et Qdrant

Comments
28 min read
Qdrant TypeScript in 2026: use query(), not stale search() examples

Qdrant TypeScript in 2026: use query(), not stale search() examples

Comments 1
3 min read
How to Tell When Your LLM's Knowledge Actually Stops

How to Tell When Your LLM's Knowledge Actually Stops

Comments
2 min read
When Your AI Confidently Replies to Emails It Shouldn't Touch

When Your AI Confidently Replies to Emails It Shouldn't Touch

1
Comments 2
7 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.