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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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Enhancing Hybrid Search in MongoDB: Combining RRF, Thresholds, and Weights

Enhancing Hybrid Search in MongoDB: Combining RRF, Thresholds, and Weights

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2 min read
Knowledgeable Agents with FalkorDB Graph RAG

Knowledgeable Agents with FalkorDB Graph RAG

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5 min read
My Experience at Build Bengaluru 2024

My Experience at Build Bengaluru 2024

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2 min read
Charting Your Unique Path in Generative AI: A Fresh Perspective for Beginners

Charting Your Unique Path in Generative AI: A Fresh Perspective for Beginners

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3 min read
Multiple document conversion using Docling and a GUI

Multiple document conversion using Docling and a GUI

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4 min read
De Chatbot a Experto Industrial: Construyendo un Asistente Inteligente con Amazon Bedrock

De Chatbot a Experto Industrial: Construyendo un Asistente Inteligente con Amazon Bedrock

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13 min read
FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval

FalkorDB has integrated with cognee to improve AI-driven knowledge retrieval

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1 min read
Unlocking AI for Everyone: Build with RAG and Agentic RAG—No Code Needed

Unlocking AI for Everyone: Build with RAG and Agentic RAG—No Code Needed

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2 min read
struggling to effectively leverage graph structures in LLM-powered apps?

struggling to effectively leverage graph structures in LLM-powered apps?

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2 min read
Semantic Search Feature

Semantic Search Feature

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5 min read
First step and troubleshooting Docling — RAG with LlamaIndex on my CPU laptop

First step and troubleshooting Docling — RAG with LlamaIndex on my CPU laptop

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5 min read
Tired of AI Giving You 'Lazy Answers'? Here's Our Solution

Tired of AI Giving You 'Lazy Answers'? Here's Our Solution

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3 min read
Roadmap for Gen AI dev in 2025

Roadmap for Gen AI dev in 2025

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3 min read
Understanding RAG and Long-Context LLMs: Insights from the SELF-ROUTE Hybrid Approach

Understanding RAG and Long-Context LLMs: Insights from the SELF-ROUTE Hybrid Approach

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3 min read
What’s your favorite framework for building GenAI applications? (LangChain, Haystack, LlamaIndex, or others?) 🚀

What’s your favorite framework for building GenAI applications? (LangChain, Haystack, LlamaIndex, or others?) 🚀

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1 min read
DeepMind at Google: Denny Zhou

DeepMind at Google: Denny Zhou

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2 min read
Introducing Composio Tools| Agentic LLMs API Gateway

Introducing Composio Tools| Agentic LLMs API Gateway

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3 min read
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
Faiss with sqlite for RAG

Faiss with sqlite for RAG

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1 min read
Talk with your PDF documents in SharePoint

Talk with your PDF documents in SharePoint

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2 min read
7 LLM Benchmarks for Performance, Capabilities, and Limitations

7 LLM Benchmarks for Performance, Capabilities, and Limitations

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8 min read
🪤 The Chatbot Trap - Why Your LLM Project Is Stuck After the “Wow Moment"

🪤 The Chatbot Trap - Why Your LLM Project Is Stuck After the “Wow Moment"

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4 min read
Does Model Context Protocol (MCP) Spell the Death of RAG?

Does Model Context Protocol (MCP) Spell the Death of RAG?

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4 min read
Stock Financial Analysis (Report Generation) using Generative AI - Gemini 1.5 Flash vs LLama 3.2 8b Model

Stock Financial Analysis (Report Generation) using Generative AI - Gemini 1.5 Flash vs LLama 3.2 8b Model

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5 min read
Quantization in The Counterintuitive High-Dimensional Space

Quantization in The Counterintuitive High-Dimensional Space

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11 min read
Git clone - that repo is too big : HELP!

Git clone - that repo is too big : HELP!

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2 min read
How to Create Your Own RAG with Free LLM Models and a Knowledge Base

How to Create Your Own RAG with Free LLM Models and a Knowledge Base

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7 min read
Customize ChatGPT for Your Codebase : OpenAI

Customize ChatGPT for Your Codebase : OpenAI

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10 min read
Why AI Agents Are Not Ready to Get Real Jobs Done — Yet

Why AI Agents Are Not Ready to Get Real Jobs Done — Yet

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1 min read
What is Chunk Size and Chunk Overlap

What is Chunk Size and Chunk Overlap

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3 min read
AI and All Data Weekly - 02 December 2024

AI and All Data Weekly - 02 December 2024

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5 min read
Why Run LLM's /SLM's locally

Why Run LLM's /SLM's locally

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1 min read
The 10 Top-Rated Talks about Knowledge Graphs

The 10 Top-Rated Talks about Knowledge Graphs

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2 min read
How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

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3 min read
User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

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11 min read
RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary

RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary

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2 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
My 2025 AI Engineer Roadmap List

My 2025 AI Engineer Roadmap List

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4 min read
Why Chunk Text Before Embedding

Why Chunk Text Before Embedding

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2 min read
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
PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell

PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell

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6 min read
The Dark Side of VLMs: What's Really Going Wrong

The Dark Side of VLMs: What's Really Going Wrong

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1 min read
Reflecting on the ORAssistant Project: A Journey of Collaboration and Technical Growth

Reflecting on the ORAssistant Project: A Journey of Collaboration and Technical Growth

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2 min read
The ultimate guide to Retrieval-Augmented Generation (RAG)

The ultimate guide to Retrieval-Augmented Generation (RAG)

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16 min read
AI Engineer's Tool Review: Unstructured

AI Engineer's Tool Review: Unstructured

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1 min read
Large Language Models (LLMs)

Large Language Models (LLMs)

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1 min read
RAG Explained: Tackling the Big Problems in AI

RAG Explained: Tackling the Big Problems in AI

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4 min read
Get Started with LangChain: A Step-by-Step Tutorial for Beginners

Get Started with LangChain: A Step-by-Step Tutorial for Beginners

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4 min read
Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

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15 min read
Bolt.new with any LLM, you need to use it

Bolt.new with any LLM, you need to use it

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2 min read
Building RAG-Powered Applications with LangChain, Pinecone, and OpenAI

Building RAG-Powered Applications with LangChain, Pinecone, and OpenAI

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7 min read
Extended RaBitQ: an Optimized Scalar Quantization Method

Extended RaBitQ: an Optimized Scalar Quantization Method

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7 min read
Rethinking How We Train Customer-Facing AI Agents

Rethinking How We Train Customer-Facing AI Agents

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1 min read
The Ghost of AI Past, Present, and Future

The Ghost of AI Past, Present, and Future

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9 min read
PDF chat with source highlights

PDF chat with source highlights

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1 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

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

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

AI Engineer's Tool Review: Guardrails AI

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

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
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