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# 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.

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How to build a Hybrid Search System for RAG?
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How to build a Hybrid Search System for RAG?

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Comments 2
3 min read
5 Powerful Techniques to Slash Your LLM Costs
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5 Powerful Techniques to Slash Your LLM Costs

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1 min read
Retrieval Augmented Generation Frameworks: AutoGen
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Retrieval Augmented Generation Frameworks: AutoGen

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6 min read
Building an AI Engineering Manager with GitHub and Middleware HQ
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Building an AI Engineering Manager with GitHub and Middleware HQ

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Comments 10
15 min read
LLMware.ai 🤖: An Ultimate Python Toolkit for Building LLM Apps
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LLMware.ai 🤖: An Ultimate Python Toolkit for Building LLM Apps

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Comments 14
5 min read
How a history-aware retriever works?
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How a history-aware retriever works?

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5 min read
OLLAMA + LLAMA3 + RAG + Vector Database (Local, Open Source, Free)
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OLLAMA + LLAMA3 + RAG + Vector Database (Local, Open Source, Free)

32
Comments
2 min read
Build a RAG application to learn Angular using langchhtain.js, nestjs, Htmx, and Gemma 2

Build a RAG application to learn Angular using langchhtain.js, nestjs, Htmx, and Gemma 2

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11 min read
Can RAG Pipelines Revolutionize Search Engine Performance?

Can RAG Pipelines Revolutionize Search Engine Performance?

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

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

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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

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

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8 min read
Retrieval Augmented Generation Frameworks: HayStack
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Retrieval Augmented Generation Frameworks: HayStack

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5 min read
AI: What is RAG ?
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AI: What is RAG ?

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Comments 1
2 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

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

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2 min read
Hill climbing generative AI problems: When ground truth values are expensive to obtain & launching fast is important
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Hill climbing generative AI problems: When ground truth values are expensive to obtain & launching fast is important

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5 min read
Unleash the Power of RAG - Building Intelligent Apps with Chroma and Gemini Pro

Unleash the Power of RAG - Building Intelligent Apps with Chroma and Gemini Pro

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

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

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

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

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Comments 1
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

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

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5 min read
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