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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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Use Guardrails to prevent hallucinations in generative AI applications

Use Guardrails to prevent hallucinations in generative AI applications

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6 min read
Building a PDF Chatbot with RAG using SQL
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Building a PDF Chatbot with RAG using SQL

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2 min read
#Milvus Adventures July 12, 2024
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#Milvus Adventures July 12, 2024

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2 min read
NVIDIA NIM is mind blowing!!!
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NVIDIA NIM is mind blowing!!!

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2 min read
Building Ollama Cloud - Scaling Local Inference to the Cloud
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Building Ollama Cloud - Scaling Local Inference to the Cloud

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Comments 1
4 min read
Reverse engineering Perplexity AI: prompt injection tricks to reveal its system prompts and speed secrets
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Reverse engineering Perplexity AI: prompt injection tricks to reveal its system prompts and speed secrets

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4 min read
Let’s Build A Simple ‘Real Estate’ Business Using AI Agents
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Let’s Build A Simple ‘Real Estate’ Business Using AI Agents

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2 min read
Empowering AI: The QuickJS Package for LLM Tool Calling
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Empowering AI: The QuickJS Package for LLM Tool Calling

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3 min read
The AI That Knows Everything (Except What You Need)
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The AI That Knows Everything (Except What You Need)

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4 min read
Let’s Build Market Analysis Team with AI Agents
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Let’s Build Market Analysis Team with AI Agents

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2 min read
Why Vector Databases Matter in AI: Decrypting $350 Million in Funding
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Why Vector Databases Matter in AI: Decrypting $350 Million in Funding

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3 min read
Unlocking the Power of Retrieval-Augmented Generation (RAG) as Learning Tools
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Unlocking the Power of Retrieval-Augmented Generation (RAG) as Learning Tools

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5 min read
Why Retrieval-Augmented Generation (RAG) is the Secret Weapon for Smarter Applications?
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Why Retrieval-Augmented Generation (RAG) is the Secret Weapon for Smarter Applications?

Comments 2
2 min read
Optimizing RAG Through an Evaluation-Based Methodology
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Optimizing RAG Through an Evaluation-Based Methodology

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14 min read
Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB
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Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

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Comments 4
10 min read
Mapping LLM Integration Levels to Levels of Autonomous Driving, it does not have to be all or nothing!
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Mapping LLM Integration Levels to Levels of Autonomous Driving, it does not have to be all or nothing!

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5 min read
Generating a result with a context
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Generating a result with a context

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2 min read
Setting up the database and search for RAG
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Setting up the database and search for RAG

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3 min read
Learning how to make an OLIVER
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Learning how to make an OLIVER

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3 min read
Build Your Own GitHub Copilot with SuperDuperDB: Live Workshop 🚀
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Build Your Own GitHub Copilot with SuperDuperDB: Live Workshop 🚀

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1 min read
How Effective are Retrieval Augmented Generation(RAG) Models?

How Effective are Retrieval Augmented Generation(RAG) Models?

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5 min read
How even the simplest RAG can empower your team
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How even the simplest RAG can empower your team

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10 min read
A RAG for Elixir
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A RAG for Elixir

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9 min read
The Hardest Problem in RAG... Handling 'NOT FOUND' Answers 🔍🤔
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The Hardest Problem in RAG... Handling 'NOT FOUND' Answers 🔍🤔

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7 min read
Laravel RAG System in 4 Steps!
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21:38

Laravel RAG System in 4 Steps!

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1 min read
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