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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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All Data and AI Weekly #196 - June 30, 2025

All Data and AI Weekly #196 - June 30, 2025

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4 min read
AGI-SaaS v1.0.0 Released!

AGI-SaaS v1.0.0 Released!

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1 min read
Byte-Vision delivers powerful Retrieval Augmented Generation by integrating Llama.Cpp and Elasticsearch's vector search.

Byte-Vision delivers powerful Retrieval Augmented Generation by integrating Llama.Cpp and Elasticsearch's vector search.

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1 min read
RAG Document Q&A System

RAG Document Q&A System

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Fitera: AI-Powered Nutrition and Fitness Tracking Application

Fitera: AI-Powered Nutrition and Fitness Tracking Application

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3 min read
🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

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3 min read
What Is Vertex AI Agent Memory Bank ?

What Is Vertex AI Agent Memory Bank ?

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4 min read
Embeddings & Cosine Similarity Explained Simply

Embeddings & Cosine Similarity Explained Simply

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10 min read
RAG Systems Model (MongoDB)

RAG Systems Model (MongoDB)

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1 min read
Revolutionizing AI with Retrieval-Augmented Generation (RAG): Architectures, Workflows, and Practical Applications

Revolutionizing AI with Retrieval-Augmented Generation (RAG): Architectures, Workflows, and Practical Applications

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3 min read
The Hidden Failures in RAG Systems — And How WFGY Fixes Them

The Hidden Failures in RAG Systems — And How WFGY Fixes Them

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3 min read
Towards Lifelong Dialogue Agents via Timeline-based Memory Management

Towards Lifelong Dialogue Agents via Timeline-based Memory Management

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2 min read
Building RAG Applications with LangChain(Part-4)

Building RAG Applications with LangChain(Part-4)

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5 min read
Schema In, Data Out: A Smarter Way to Mock

Schema In, Data Out: A Smarter Way to Mock

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6 min read
AI in The Context of Learning

AI in The Context of Learning

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3 min read
AI Summarization Agent🧾 in 7 minutes! 🔥

AI Summarization Agent🧾 in 7 minutes! 🔥

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10 min read
🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

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2 min read
Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

Between Structure and Imagination: What happens when code becomes a sketchpad for ideas.

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8 min read
How to setup RAG with VectorDB

How to setup RAG with VectorDB

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4 min read
Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

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10 min read
RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

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Building RAG Applications with LangChain(Part-5)

Building RAG Applications with LangChain(Part-5)

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3 min read
Medical RAG Research with txtai

Medical RAG Research with txtai

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7 min read
The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

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7 min read
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

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2 min read
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