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.
Bitemporal AI Memory: How to Preserve What an Agent Knew Then

Bitemporal AI Memory: How to Preserve What an Agent Knew Then

Comments 1
2 min read
I open-sourced a macro execution layer to reduce coding-agent turns (60-task benchmark)

I open-sourced a macro execution layer to reduce coding-agent turns (60-task benchmark)

Comments
1 min read
RAG - Semantic Caching

RAG - Semantic Caching

Comments
3 min read
Leonard Shelby Is a RAG Pipeline

Leonard Shelby Is a RAG Pipeline

Comments
5 min read
Try to Break Our AI Memory Benchmark

Try to Break Our AI Memory Benchmark

Comments
2 min read
RocheDB: Data Locality as a First-Stage Retrieval Index

RocheDB: Data Locality as a First-Stage Retrieval Index

Comments
6 min read
Building a Grounded RAG Assistant: Why Citation Enforcement Matters More Than Retrieval

Building a Grounded RAG Assistant: Why Citation Enforcement Matters More Than Retrieval

Comments 1
1 min read
RAG is for finding. Full context is for deciding.

RAG is for finding. Full context is for deciding.

Comments
4 min read
RocheDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries

RocheDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries

Comments
4 min read
Moonshot AI's Kimi K3 Is Here: A 2.8 Trillion Parameter Open MoE Model That Pushes Long-Context AI Forward

Moonshot AI's Kimi K3 Is Here: A 2.8 Trillion Parameter Open MoE Model That Pushes Long-Context AI Forward

Comments
3 min read
Local Search Agent

Local Search Agent

Comments
1 min read
Karpathy's LLM Wiki is directionally right, but the implementation is a dead end

Karpathy's LLM Wiki is directionally right, but the implementation is a dead end

Comments
4 min read
RAG, Agents, & Code Security: Applied AI Frameworks in Production

RAG, Agents, & Code Security: Applied AI Frameworks in Production

Comments
4 min read
The LLM Was the Easy Part: Building a Hybrid RAG API

The LLM Was the Easy Part: Building a Hybrid RAG API

Comments 1
7 min read
How I Built a Campus-Specific AI Chatbot for UET Taxila Using RAG

How I Built a Campus-Specific AI Chatbot for UET Taxila Using RAG

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