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

๐Ÿ‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Can RAG Pipelines Revolutionize Search Engine Performance?

Can RAG Pipelines Revolutionize Search Engine Performance?

Comments
3 min read
PHP Library for Working with LLM, Agents and RAG

PHP Library for Working with LLM, Agents and RAG

2
Comments 2
1 min read
Understanding Retrieval Augmented Generation (RAG)

Understanding Retrieval Augmented Generation (RAG)

1
Comments 1
7 min read
S1E2: Code & Deploy: Build Your First Gen AI Agent with Haystack 1:19:01

S1E2: Code & Deploy: Build Your First Gen AI Agent with Haystack

3
Comments 1
1 min read
Cut Costs in OpenSearch Serverless with Bedrock Knowledge Base - Part 2

Cut Costs in OpenSearch Serverless with Bedrock Knowledge Base - Part 2

1
Comments
8 min read
Retrieval Augmented Generation Frameworks: HayStack

Retrieval Augmented Generation Frameworks: HayStack

2
Comments
5 min read
Build Agentic RAG application using langchain.js, nestjs, Htmx, and Gemma 2

Build Agentic RAG application using langchain.js, nestjs, Htmx, and Gemma 2

8
Comments
9 min read
Vector Vision: Transform Your Local Image Search

Vector Vision: Transform Your Local Image Search

1
Comments
2 min read
AI's Powerhouse: How Large Language Models are Revolutionizing the Game

AI's Powerhouse: How Large Language Models are Revolutionizing the Game

5
Comments
2 min read
Build Search and RAG for Any Website with Firecrawl and Trieve

Build Search and RAG for Any Website with Firecrawl and Trieve

23
Comments 4
8 min read
Cut Costs in OpenSearch Serverless and Bedrock Knowledge Base

Cut Costs in OpenSearch Serverless and Bedrock Knowledge Base

1
Comments
11 min read
Exploring Different Chunking Strategies and Working with Unstructured Data

Exploring Different Chunking Strategies and Working with Unstructured Data

1
Comments
15 min read
What You Need to Know About Legal Compliance in Prompt Engineering

What You Need to Know About Legal Compliance in Prompt Engineering

Comments
4 min read
Building a RAG Chatbot with LlamaIndex and eBay API Integration

Building a RAG Chatbot with LlamaIndex and eBay API Integration

7
Comments
5 min read
RAG Pipeline Permissions for iPaaS Platforms

RAG Pipeline Permissions for iPaaS Platforms

2
Comments 1
3 min read
Generative AI Serverless - Build a Travel Policy Assistant using Bedrock Knowledge base, Lambda and API

Generative AI Serverless - Build a Travel Policy Assistant using Bedrock Knowledge base, Lambda and API

1
Comments
3 min read
Practical LLM - Matching and Ranking by Erik Schmiegelow, CEO of Hivemind Technologies AG

Practical LLM - Matching and Ranking by Erik Schmiegelow, CEO of Hivemind Technologies AG

1
Comments
3 min read
Personal Knowledge Graphs in AI RAG-powered Applications with libSQL

Personal Knowledge Graphs in AI RAG-powered Applications with libSQL

Comments
5 min read
Top Courses and GitHub Repositories to Learn GenerativeAI Free

Top Courses and GitHub Repositories to Learn GenerativeAI Free

7
Comments
6 min read
Understanding RAG (Part 3): Re-Ranker is all you need.

Understanding RAG (Part 3): Re-Ranker is all you need.

1
Comments
6 min read
Understanding RAG (Part 4): Optimizing the generation component

Understanding RAG (Part 4): Optimizing the generation component

Comments
7 min read
Building a tiny vector store from scratch

Building a tiny vector store from scratch

12
Comments 1
9 min read
Elevate Your Developer Experience with LLMText: A Seamless Library for Language Models

Elevate Your Developer Experience with LLMText: A Seamless Library for Language Models

1
Comments 1
3 min read
Milvus Adventures August 14, 2024

Milvus Adventures August 14, 2024

17
Comments
3 min read
Implementing RAG using LlamaIndex, Pinecone and Langtrace: A Step-by-Step Guide

Implementing RAG using LlamaIndex, Pinecone and Langtrace: A Step-by-Step Guide

1
Comments
8 min read
Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2

Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2

19
Comments
4 min read
Top 5 Vector Databases in 2024

Top 5 Vector Databases in 2024

5
Comments
6 min read
How to Create a Local RAG Agent with Ollama and LangChain

How to Create a Local RAG Agent with Ollama and LangChain

36
Comments 2
3 min read
End to end LLMOps Pipelineโ€Š-โ€ŠPart 2โ€Š-โ€ŠFastAPI

End to end LLMOps Pipelineโ€Š-โ€ŠPart 2โ€Š-โ€ŠFastAPI

1
Comments
3 min read
Semantic Router - Steer LLMs

Semantic Router - Steer LLMs

Comments
1 min read
AI Agents: The Invisible Helpers Transforming Your Life

AI Agents: The Invisible Helpers Transforming Your Life

1
Comments
3 min read
Retrieval Augmented Generation Frameworks: LangChain

Retrieval Augmented Generation Frameworks: LangChain

2
Comments
5 min read
Choosing between Retrieval-Augmented Generation (RAG) and Model fine-tuning

Choosing between Retrieval-Augmented Generation (RAG) and Model fine-tuning

Comments 2
2 min read
Generative AI Serverless - Build a Social Media Analytics using Bedrock RAG Knowledge base, Lambda and API!

Generative AI Serverless - Build a Social Media Analytics using Bedrock RAG Knowledge base, Lambda and API!

1
Comments
3 min read
Guardrails AI, AAAL Pt.5

Guardrails AI, AAAL Pt.5

5
Comments
2 min read
Agentic RAG for Developers!

Agentic RAG for Developers!

98
Comments 1
6 min read
Multimodal Madness! Create a Product Recommender for Smart Shopping

Multimodal Madness! Create a Product Recommender for Smart Shopping

11
Comments
5 min read
Understanding RAG (Part 2) : RAG Retrieval

Understanding RAG (Part 2) : RAG Retrieval

2
Comments
6 min read
Exploring Retrieval Augmented Generation (RAG): Chunking, LLMs, and Evaluations

Exploring Retrieval Augmented Generation (RAG): Chunking, LLMs, and Evaluations

12
Comments
5 min read
Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain

Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain

Comments
5 min read
RAG and Fine-Tuning: Enhancing AI for Enterprise Applications

RAG and Fine-Tuning: Enhancing AI for Enterprise Applications

1
Comments 1
4 min read
LlamaIndex: Revolutionizing Data Indexing for Large Language Models (Part 1)

LlamaIndex: Revolutionizing Data Indexing for Large Language Models (Part 1)

6
Comments 2
8 min read
๐ŸŒ Financial Industry Side Chat: MongoDB Atlas Vector Search Real-World User Case (Search Internal PDF Documents) ๐Ÿ’ฐ

๐ŸŒ Financial Industry Side Chat: MongoDB Atlas Vector Search Real-World User Case (Search Internal PDF Documents) ๐Ÿ’ฐ

7
Comments
2 min read
Swapping in elasticsearch to the proto-OLIVER

Swapping in elasticsearch to the proto-OLIVER

Comments
4 min read
Understanding RAG (Part 1): RAG overview

Understanding RAG (Part 1): RAG overview

5
Comments 3
6 min read
RAG on media content with Bedrock Knowledge Bases and Amazon Transcribe

RAG on media content with Bedrock Knowledge Bases and Amazon Transcribe

4
Comments 4
7 min read
Chunking Techniques Every Developer Should Know for Enhanced RAG Applications!

Chunking Techniques Every Developer Should Know for Enhanced RAG Applications!

22
Comments
5 min read
Basic RAG app with Spring AI, Docker and Ollama

Basic RAG app with Spring AI, Docker and Ollama

23
Comments 1
12 min read
๐Ÿค–Dueling AIs: Questioning and Answering with Language Models๐Ÿš€

๐Ÿค–Dueling AIs: Questioning and Answering with Language Models๐Ÿš€

61
Comments 2
5 min read
Reimagining Business with Generative AI

Reimagining Business with Generative AI

Comments
2 min read
Pre-Cloud Development Chatbot with Streamlit, Langchain, OpenAI and MongoDB Atlas Vector Search

Pre-Cloud Development Chatbot with Streamlit, Langchain, OpenAI and MongoDB Atlas Vector Search

1
Comments
8 min read
Milvus Adventures July 29, 2024

Milvus Adventures July 29, 2024

6
Comments
4 min read
Building a Travel Support Agent with RAG and PostgreSQL, Using IaC.

Building a Travel Support Agent with RAG and PostgreSQL, Using IaC.

4
Comments
5 min read
Creating a Zelda Chat Assistant using Semantic Kernel

Creating a Zelda Chat Assistant using Semantic Kernel

Comments
5 min read
Tactics for multi-step LLM app experimentation

Tactics for multi-step LLM app experimentation

Comments
7 min read
AWS Sagemaker vs AWS Bedrock, Just an AI Tool or more?

AWS Sagemaker vs AWS Bedrock, Just an AI Tool or more?

5
Comments
3 min read
#Milvus Adventures July 12, 2024

#Milvus Adventures July 12, 2024

3
Comments
2 min read
How I made my own chatbot using RAG

How I made my own chatbot using RAG

5
Comments 1
2 min read
๐๐ž๐ฌ๐ญ ๐๐ซ๐š๐œ๐ญ๐ข๐œ๐ž๐ฌ ๐Ÿ๐จ๐ซ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐จ๐ง ๐€๐–๐’

๐๐ž๐ฌ๐ญ ๐๐ซ๐š๐œ๐ญ๐ข๐œ๐ž๐ฌ ๐Ÿ๐จ๐ซ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐จ๐ง ๐€๐–๐’

4
Comments
1 min read
Building a RAG application using LangChain and LangSmith

Building a RAG application using LangChain and LangSmith

1
Comments
4 min read
loading...