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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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Building an AI Engineering Manager with GitHub and Middleware HQ

Building an AI Engineering Manager with GitHub and Middleware HQ

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Comments 10
15 min read
How a history-aware retriever works?

How a history-aware retriever works?

18
Comments
5 min read
LLMware.ai 🤖: An Ultimate Python Toolkit for Building LLM Apps

LLMware.ai 🤖: An Ultimate Python Toolkit for Building LLM Apps

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Comments 14
5 min read
Building Hangout AI at the TiDB Future App Hackathon 2024

Building Hangout AI at the TiDB Future App Hackathon 2024

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Comments 1
2 min read
OLLAMA + LLAMA3 + RAG + Vector Database (Local, Open Source, Free)

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

25
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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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Comments 4
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

PHP Library for Working with LLM, Agents and RAG

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

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

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

1
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8 min read
Retrieval Augmented Generation Frameworks: HayStack

Retrieval Augmented Generation Frameworks: HayStack

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5 min read
Vector Vision: Transform Your Local Image Search

Vector Vision: Transform Your Local Image Search

1
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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

9
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9 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

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

Build Search and RAG for Any Website with Firecrawl and Trieve

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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
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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

Building a RAG Chatbot with LlamaIndex and eBay API Integration

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5 min read
RAG Pipeline Permissions for iPaaS Platforms

RAG Pipeline Permissions for iPaaS Platforms

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

Personal Knowledge Graphs in AI RAG-powered Applications with libSQL

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5 min read
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