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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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What is Chunk Size and Chunk Overlap
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What is Chunk Size and Chunk Overlap

11
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3 min read
Rethinking How We Train Customer-Facing AI Agents
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Rethinking How We Train Customer-Facing AI Agents

26
Comments
1 min read
Extended RaBitQ: an Optimized Scalar Quantization Method
Cover image for Extended RaBitQ: an Optimized Scalar Quantization Method

Extended RaBitQ: an Optimized Scalar Quantization Method

3
Comments
7 min read
Introducing Composio Tools| Agentic LLMs API Gateway
Cover image for Introducing Composio Tools| Agentic LLMs API Gateway

Introducing Composio Tools| Agentic LLMs API Gateway

2
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3 min read
The Ghost of AI Past, Present, and Future
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The Ghost of AI Past, Present, and Future

1
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9 min read
Faiss with sqlite for RAG

Faiss with sqlite for RAG

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1 min read
Why Chunk Text Before Embedding
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Why Chunk Text Before Embedding

2
Comments 1
2 min read
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
Cover image for 🤖 RAG vs. Agents: A Comparison and When to Use Each

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

18
Comments
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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Comments 1
5 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

7
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7 min read
PDF Q&A Automation using LLaMA-3 Model via Groq API

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

6
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2 min read
Learn AI and win $1000 for doing so: DataStax 12 days of Codemas
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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

37
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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 🚀

7
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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
Want to start learning LLM and Generative AI? Start with Ollama and this article.
Cover image for Want to start learning LLM and Generative AI? Start with Ollama and this article.

Want to start learning LLM and Generative AI? Start with Ollama and this article.

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

1
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8 min read
AI Engineer's Tool Review: Unstructured

AI Engineer's Tool Review: Unstructured

1
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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!)
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Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)

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14 min read
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