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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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Generative Audio

Generative Audio

1
Comments
8 min read
RAG vs. Fine-Tuning: Which Is Best for Enhancing LLMs?
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RAG vs. Fine-Tuning: Which Is Best for Enhancing LLMs?

14
Comments 2
6 min read
Create Your Own AI RAG Chatbot: A Python Guide with LangChain
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Create Your Own AI RAG Chatbot: A Python Guide with LangChain

65
Comments 9
7 min read
The Bug That Once Stopped the World
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The Bug That Once Stopped the World

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2 min read
OpenRAG: An Open-Source GenAI Application to Supercharge Data Queries with Large Language Models
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OpenRAG: An Open-Source GenAI Application to Supercharge Data Queries with Large Language Models

1
Comments
3 min read
Exploring RAG: How Data Ingestion Powers Cutting-Edge AI?
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Exploring RAG: How Data Ingestion Powers Cutting-Edge AI?

1
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3 min read
Building a Document QA with Streamlit & OpenAI
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Building a Document QA with Streamlit & OpenAI

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Comments 4
5 min read
How I Use ChatGPT To Spec Out Hardware Upgrades
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How I Use ChatGPT To Spec Out Hardware Upgrades

1
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4 min read
Swiftide 0.12 - Hybrid Search, search filters, parquet loader, and a giant speed bump

Swiftide 0.12 - Hybrid Search, search filters, parquet loader, and a giant speed bump

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1 min read
🚀 Introduction to Building AI-Powered Apps with Streamlit and FastAPI
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🚀 Introduction to Building AI-Powered Apps with Streamlit and FastAPI

16
Comments 4
7 min read
The Best Database for Retrieval-Augmented Generation (RAG): Choosing the Right Solution
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The Best Database for Retrieval-Augmented Generation (RAG): Choosing the Right Solution

23
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5 min read
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base

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1 min read
How to Build Smarter AI Apps and Reduce Hallucinations with RAG
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How to Build Smarter AI Apps and Reduce Hallucinations with RAG

15
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4 min read
Chunking in AI - The Secret Sauce You're Missing
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Chunking in AI - The Secret Sauce You're Missing

6
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6 min read
Time Waits for No Document: 5 ways to speed up your work
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Time Waits for No Document: 5 ways to speed up your work

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Comments 8
5 min read
Unveiling the Magic Behind Autonomous AI Agents
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Unveiling the Magic Behind Autonomous AI Agents

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3 min read
A New Reliable AI Tool for Developers

A New Reliable AI Tool for Developers

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1 min read
Will Retrieval Augmented Generation (RAG) Be Killed by Long-Context LLMs?

Will Retrieval Augmented Generation (RAG) Be Killed by Long-Context LLMs?

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9 min read
Has anyone worked with embeddings generation, and open to helping me with it?

Has anyone worked with embeddings generation, and open to helping me with it?

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1 min read
Swiftide 0.9, a Rust native library for building LLM applications with RAG, brings Fluvio, Lancedb and Ragas support

Swiftide 0.9, a Rust native library for building LLM applications with RAG, brings Fluvio, Lancedb and Ragas support

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3 min read
Introducing Hexabot: Your 100% Open-Source Chatbot Solution
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06:09

Introducing Hexabot: Your 100% Open-Source Chatbot Solution

64
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2 min read
Hexabot Setup & Visual Editor Tutorial: Build Your First AI Chatbot
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06:28

Hexabot Setup & Visual Editor Tutorial: Build Your First AI Chatbot

11
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1 min read
Speech to Speech RAG

Speech to Speech RAG

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Comments 2
4 min read
Llama 3.2 Vision(11B vision-instruct model) in Kaggle: A Step-by-Step Guide
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Llama 3.2 Vision(11B vision-instruct model) in Kaggle: A Step-by-Step Guide

35
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3 min read
ColBERT Live! Makes Your Vector Database Smarter
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ColBERT Live! Makes Your Vector Database Smarter

2
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8 min read
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