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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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Can RAG Pipelines Revolutionize Search Engine Performance?

Can RAG Pipelines Revolutionize Search Engine Performance?

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

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

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5 min read
Creating a Zelda Chat Assistant using Semantic Kernel

Creating a Zelda Chat Assistant using Semantic Kernel

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5 min read
Tactics for multi-step LLM app experimentation

Tactics for multi-step LLM app experimentation

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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?

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3 min read
Building a RAG application using LangChain and LangSmith

Building a RAG application using LangChain and LangSmith

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4 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
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
TiDB Future App Hackathon 2024

TiDB Future App Hackathon 2024

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2 min read
Airflow for RAG based GenAI application

Airflow for RAG based GenAI application

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1 min read
Introducing vectorlite: A Fast and Tunable Vector Search Extension for SQLite

Introducing vectorlite: A Fast and Tunable Vector Search Extension for SQLite

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10 min read
Open Stats for LLM Usage

Open Stats for LLM Usage

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1 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

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3 min read
Semantic Router - Steer LLMs

Semantic Router - Steer LLMs

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

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

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2 min read
Let’s Build AI Agent From Scratch

Let’s Build AI Agent From Scratch

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2 min read
AI-Powered Document Data Extraction

AI-Powered Document Data Extraction

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1 min read
Exploring the Extractive Capabilities of Large Language Models – Beyond Generation and Copilots

Exploring the Extractive Capabilities of Large Language Models – Beyond Generation and Copilots

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11 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

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

The AI That Knows Everything (Except What You Need)

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4 min read
Swapping in elasticsearch to the proto-OLIVER

Swapping in elasticsearch to the proto-OLIVER

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4 min read
How I made my own chatbot using RAG

How I made my own chatbot using RAG

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2 min read
𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐀𝐖𝐒

𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐀𝐖𝐒

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1 min read
Protecting RAG Application Against Prompt Injection

Protecting RAG Application Against Prompt Injection

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5 min read
Building a Traceable RAG System with Qdrant and Langtrace: A Step-by-Step Guide

Building a Traceable RAG System with Qdrant and Langtrace: A Step-by-Step Guide

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6 min read
Retrieval - Augmented Generation (RAG)

Retrieval - Augmented Generation (RAG)

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3 min read
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
The Adventures of Blink #28: RAGs to Riches!

The Adventures of Blink #28: RAGs to Riches!

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5 min read
#Milvus Adventures July 12, 2024

#Milvus Adventures July 12, 2024

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

Reverse engineering Perplexity AI: prompt injection tricks to reveal its system prompts and speed secrets

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4 min read
The Importance of Guardrails in LLMs, AAAL Pt. 2

The Importance of Guardrails in LLMs, AAAL Pt. 2

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2 min read
Multimodal RAG locally with CLIP and Llama3

Multimodal RAG locally with CLIP and Llama3

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

Empowering AI: The QuickJS Package for LLM Tool Calling

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3 min read
Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

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2 min read
Running Llama 3, Mixtral, and GPT-4o

Running Llama 3, Mixtral, and GPT-4o

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8 min read
Building a PDF Chatbot with RAG using SQL

Building a PDF Chatbot with RAG using SQL

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2 min read
Revolutionizing User Interaction: The Rise of Conversational UIs

Revolutionizing User Interaction: The Rise of Conversational UIs

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3 min read
NVIDIA NIM is mind blowing!!!

NVIDIA NIM is mind blowing!!!

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

Building Ollama Cloud - Scaling Local Inference to the Cloud

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4 min read
A Quick Guide to RAG Using Algoboost for Embedding Vector Inference

A Quick Guide to RAG Using Algoboost for Embedding Vector Inference

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7 min read
Step-by-Step to AI Engineering Mastery

Step-by-Step to AI Engineering Mastery

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3 min read
Rusty RAG Quiz Creator

Rusty RAG Quiz Creator

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

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

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

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

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

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

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5 min read
The Future of Information Retrieval: RAG Models vs. Generalized AI

The Future of Information Retrieval: RAG Models vs. Generalized AI

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3 min read
Optimizing RAG Through an Evaluation-Based Methodology

Optimizing RAG Through an Evaluation-Based Methodology

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14 min read
RAG Explained | Using Retrieval-Augmented Generation to Build Semantic Search

RAG Explained | Using Retrieval-Augmented Generation to Build Semantic Search

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9 min read
Highlights from Day 1 of CascadiaJS 2024

Highlights from Day 1 of CascadiaJS 2024

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

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

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

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10 min read
How I Built My Own Personalized Google: A Step-by-Step Guide to AI Mastery

How I Built My Own Personalized Google: A Step-by-Step Guide to AI Mastery

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2 min read
Generating a result with a context

Generating a result with a context

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2 min read
Setting up the database and search for RAG

Setting up the database and search for RAG

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3 min read
Learning how to make an OLIVER

Learning how to make an OLIVER

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

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
Implementing RAG in Refact.ai AI Coding Assistant

Implementing RAG in Refact.ai AI Coding Assistant

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

How even the simplest RAG can empower your team

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10 min read
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