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.
RAG Systems Model (MongoDB)

RAG Systems Model (MongoDB)

Comments 1
1 min read
Revolutionizing AI with Retrieval-Augmented Generation (RAG): Architectures, Workflows, and Practical Applications

Revolutionizing AI with Retrieval-Augmented Generation (RAG): Architectures, Workflows, and Practical Applications

Comments
3 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
Towards Lifelong Dialogue Agents via Timeline-based Memory Management

Towards Lifelong Dialogue Agents via Timeline-based Memory Management

Comments
2 min read
Building RAG Applications with LangChain(Part-4)

Building RAG Applications with LangChain(Part-4)

Comments
5 min read
Schema In, Data Out: A Smarter Way to Mock

Schema In, Data Out: A Smarter Way to Mock

Comments
6 min read
AI in The Context of Learning

AI in The Context of Learning

1
Comments
3 min read
AI Summarization Agent🧾 in 7 minutes! 🔥

AI Summarization Agent🧾 in 7 minutes! 🔥

Comments
10 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
Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

Comments
8 min read
How to setup RAG with VectorDB

How to setup RAG with VectorDB

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?

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

Building RAG Applications with LangChain(Part-5)

1
Comments
3 min read
Medical RAG Research with txtai

Medical RAG Research with txtai

1
Comments
7 min read
The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

2
Comments
7 min read
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Comments
2 min read
Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

1
Comments 2
9 min read
Comprehending RAGs with a keyword search [LLM A1]

Comprehending RAGs with a keyword search [LLM A1]

1
Comments
3 min read
10 Best LangChain Alternatives You Must Know in 2025

10 Best LangChain Alternatives You Must Know in 2025

Comments 1
6 min read
Graphs over Chains - My LangGraph Journey (part-1)

Graphs over Chains - My LangGraph Journey (part-1)

1
Comments
3 min read
Evaluate your Prompt- No Guesswork!

Evaluate your Prompt- No Guesswork!

Comments 1
1 min read
Democratizing AI: Building a RAG System with Gemma and LangChain

Democratizing AI: Building a RAG System with Gemma and LangChain

Comments
3 min read
Retrieval-Augmented Generation (RAG): A Deep Technical Dive

Retrieval-Augmented Generation (RAG): A Deep Technical Dive

Comments
2 min read
How I ditched LangChain to create my own custom RAG

How I ditched LangChain to create my own custom RAG

1
Comments
10 min read
loading...