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.
Auto Mission – An AI-Powered HR Assistant Built with Langflow

Auto Mission – An AI-Powered HR Assistant Built with Langflow

1
Comments
1 min read
RAG Document Q&A System

RAG Document Q&A System

1
Comments 4
1 min read
Fitera: AI-Powered Nutrition and Fitness Tracking Application

Fitera: AI-Powered Nutrition and Fitness Tracking Application

1
Comments
3 min read
🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

8
Comments
3 min read
What Is Vertex AI Agent Memory Bank ?

What Is Vertex AI Agent Memory Bank ?

9
Comments
4 min read
Exploring RAG: Math behind Embeddings & Cosine Similarity

Exploring RAG: Math behind Embeddings & Cosine Similarity

3
Comments
10 min read
RAG Systems Model (MongoDB)

RAG Systems Model (MongoDB)

Comments 1
1 min read
The Hidden Failures in RAG Systems — And How WFGY Fixes Them

The Hidden Failures in RAG Systems — And How WFGY Fixes Them

1
Comments
3 min read
Retrieval Technique Series-6.A Discourse on Design in High-Performance Retrieval Systems

Retrieval Technique Series-6.A Discourse on Design in High-Performance Retrieval Systems

Comments
4 min read
🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

1
Comments
2 min read
🚀 Amazon S3 Adds Native Vector Search — A Game-Changer for GenAI Builders (Especially Students)

🚀 Amazon S3 Adds Native Vector Search — A Game-Changer for GenAI Builders (Especially Students)

1
Comments
4 min read
Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

6
Comments
10 min read
RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

2
Comments 1
3 min read
Building RAG Applications with LangChain(Part-5)

Building RAG Applications with LangChain(Part-5)

1
Comments
3 min read
Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

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