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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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🧠Building neuro-symbolic AI Alone... Help is welcome

🧠Building neuro-symbolic AI Alone... Help is welcome

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3 min read
🧠 Building a Local PDF Summarizer with LLMs — In Under 24 Hours

🧠 Building a Local PDF Summarizer with LLMs — In Under 24 Hours

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3 min read
Can you take your AI's memory with you? 🚫

Can you take your AI's memory with you? 🚫

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1 min read
Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB

Beyond basic RAG: Building a multi-cycle reasoning engine on SurrealDB

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14 min read
Auto Mission – An AI-Powered HR Assistant Built with Langflow

Auto Mission – An AI-Powered HR Assistant Built with Langflow

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1 min read
RAG Document Q&A System

RAG Document Q&A System

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1 min read
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
Exploring RAG: Math behind Embeddings & Cosine Similarity

Exploring RAG: Math behind Embeddings & Cosine Similarity

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10 min read
RAG Systems Model (MongoDB)

RAG Systems Model (MongoDB)

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1 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
🚀 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
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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3 min read
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