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.
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
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

3
Comments 1
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
Evaluate your Prompt- No Guesswork!

Evaluate your Prompt- No Guesswork!

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

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

1
Comments
3 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
How I Built a RAG System in Rails Using Nomic Embeddings and OpenAI

How I Built a RAG System in Rails Using Nomic Embeddings and OpenAI

Comments 1
2 min read
Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

2
Comments
7 min read
The Hidden Bias in AI Code Generation

The Hidden Bias in AI Code Generation

Comments
4 min read
halfvec: Half the Bits, Twice the speed?

halfvec: Half the Bits, Twice the speed?

1
Comments
7 min read
Build a RAG-powered assistant

Build a RAG-powered assistant

1
Comments
2 min read
The Bug That Cost Us $10,000: A Postmortem on a Rogue AWS Lambda Function

The Bug That Cost Us $10,000: A Postmortem on a Rogue AWS Lambda Function

Comments 1
3 min read
Build Smart AI Apps with RAG: Smart Chatbots You Can Actually Trust

Build Smart AI Apps with RAG: Smart Chatbots You Can Actually Trust

5
Comments
2 min read
Couchbase Weekly Updates - July 11, 2025

Couchbase Weekly Updates - July 11, 2025

1
Comments
2 min read
Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

65
Comments 2
2 min read
3 Issues That Remote MCP Developers Should Avoid

3 Issues That Remote MCP Developers Should Avoid

73
Comments 2
3 min read
Retrieval-Augmented Generation (RAG) for AI starter

Retrieval-Augmented Generation (RAG) for AI starter

Comments
3 min read
RAG vs. Fine-Tuning: Which LLM Learning Path Is Right for You?

RAG vs. Fine-Tuning: Which LLM Learning Path Is Right for You?

1
Comments 2
1 min read
Enterprise AI feature development with LLMs

Enterprise AI feature development with LLMs

1
Comments
2 min read
loading...