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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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Top 10 Real-World Applications of Artificial Intelligence to Watch in 2025

Top 10 Real-World Applications of Artificial Intelligence to Watch in 2025

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5 min read
🤖 RAG vs. Agents: A Comparison and When to Use Each
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🤖 RAG vs. Agents: A Comparison and When to Use Each

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3 min read
AI Engineer's Tool Review: Guardrails AI
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AI Engineer's Tool Review: Guardrails AI

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1 min read
AI and All Data Weekly for 09 Dec 2024
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AI and All Data Weekly for 09 Dec 2024

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5 min read
PDF Q&A Automation using LLaMA-3 Model via Groq API

PDF Q&A Automation using LLaMA-3 Model via Groq API

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2 min read
Un Chatbot RAG pour explorer du contenu vidéo : une architecture event-driven et serverless sur Google Cloud
Cover image for Un Chatbot RAG pour explorer du contenu vidéo : une architecture event-driven et serverless sur Google Cloud

Un Chatbot RAG pour explorer du contenu vidéo : une architecture event-driven et serverless sur Google Cloud

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7 min read
Learn AI and win $1000 for doing so: DataStax 12 days of Codemas
Cover image for Learn AI and win $1000 for doing so: DataStax 12 days of Codemas

Learn AI and win $1000 for doing so: DataStax 12 days of Codemas

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4 min read
Quantization in The Counterintuitive High-Dimensional Space
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Quantization in The Counterintuitive High-Dimensional Space

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11 min read
Planning To Resolve Automatic Feedback Loop

Planning To Resolve Automatic Feedback Loop

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2 min read
Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

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1 min read
Text-to-SQL: Creating Embeddings with Nebius AI Studio (part 1)
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Text-to-SQL: Creating Embeddings with Nebius AI Studio (part 1)

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4 min read
Talk with your PDF documents in SharePoint

Talk with your PDF documents in SharePoint

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2 min read
Navigating the world of Harry Potter with Knowledge Graphs
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Navigating the world of Harry Potter with Knowledge Graphs

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6 min read
Overcoming LLM Testing Challenges with Pytest and Trulens: Ensuring Reliable Responses
Cover image for Overcoming LLM Testing Challenges with Pytest and Trulens: Ensuring Reliable Responses

Overcoming LLM Testing Challenges with Pytest and Trulens: Ensuring Reliable Responses

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8 min read
AI Engineer's Tool Review: Unstructured

AI Engineer's Tool Review: Unstructured

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1 min read
Building a CLI tool to improve Github Copilot
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Building a CLI tool to improve Github Copilot

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7 min read
Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)
Cover image for Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)

Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)

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14 min read
Computer Vision Meetup: Do It Yourself LLMs 46:17

Computer Vision Meetup: Do It Yourself LLMs

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1 min read
The Demise Of Human Coding, Rise Of AI, And Why It's Good For Devs Too
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The Demise Of Human Coding, Rise Of AI, And Why It's Good For Devs Too

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4 min read
Retrieval-Augmented Generation
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Retrieval-Augmented Generation

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6 min read
Comprehensive Guide to the Capabilities and Applications of Large Language Models (LLMs)

Comprehensive Guide to the Capabilities and Applications of Large Language Models (LLMs)

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12 min read
Noema – A Declarative AI Programming Library

Noema – A Declarative AI Programming Library

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2 min read
Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

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2 min read
Enhancing Language Models with Retrieval-Augmented Generation (RAG)

Enhancing Language Models with Retrieval-Augmented Generation (RAG)

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3 min read
GraphRAG vs LazyGraphRAG: Revolutionizing Retrieval-Augmented Generation

GraphRAG vs LazyGraphRAG: Revolutionizing Retrieval-Augmented Generation

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3 min read
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