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.
Mastering RAG Evaluation: The Definitive Guide to Reliable AI

Mastering RAG Evaluation: The Definitive Guide to Reliable AI

1
Comments
3 min read
Giving LLMs a Long-Term Memory: An Introduction to Mem0 🧠

Giving LLMs a Long-Term Memory: An Introduction to Mem0 🧠

1
Comments 8
3 min read
PostgreSQL as a Vector Database: When to Use pgvector vs Pinecone vs Weaviate

PostgreSQL as a Vector Database: When to Use pgvector vs Pinecone vs Weaviate

18
Comments 2
8 min read
Accuracy Is Expensive: How to Evaluate ‘Quality per $’ for Agents and RAG

Accuracy Is Expensive: How to Evaluate ‘Quality per $’ for Agents and RAG

1
Comments
6 min read
The Full Graph-RAG Stack As Declarative Pipelines in Cypher

The Full Graph-RAG Stack As Declarative Pipelines in Cypher

Comments
4 min read
SQLite as a Vector Database — Yes, Really

SQLite as a Vector Database — Yes, Really

1
Comments
7 min read
The TypeScript Framework That Makes LLM Development Actually Simple

The TypeScript Framework That Makes LLM Development Actually Simple

2
Comments 1
5 min read
Building a RAG Pipeline That Actually Works

Building a RAG Pipeline That Actually Works

4
Comments
9 min read
How Acontext Stores AI Messages?

How Acontext Stores AI Messages?

Comments
11 min read
Why We Built Database for Document Retrieval

Why We Built Database for Document Retrieval

1
Comments 1
3 min read
AI Data Engineer vs Data Engineer: What Actually Changed? (50+ Job Analysis)

AI Data Engineer vs Data Engineer: What Actually Changed? (50+ Job Analysis)

Comments
4 min read
Stop Stitching Your RAG Stack: Why We Built seekdb

Stop Stitching Your RAG Stack: Why We Built seekdb

7
Comments 1
4 min read
Fine-tuning vs RAG: When to Use Each Approach for Production LLMs

Fine-tuning vs RAG: When to Use Each Approach for Production LLMs

Comments 1
8 min read
Getting Started with Gemini Agents: Build a Data-Connected RAG Agent using Vertex AI Agent Builder

Getting Started with Gemini Agents: Build a Data-Connected RAG Agent using Vertex AI Agent Builder

2
Comments
7 min read
Fine-tuning vs RAG: When to Use Each Approach for Production LLMs

Fine-tuning vs RAG: When to Use Each Approach for Production LLMs

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