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Free Source Code Projects for Students 🚀 | Python | Java | Android | Web Dev | AI/ML | Final Year Projects | BCA • BTech • MCA | Interview Prep | Job Alerts

Website: https://updategadh.com
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What is Vector Database? How It Works with AI and RAG

Vector Databases are becoming an important part of modern AI applications. They help AI systems store, search, and retrieve information based on meaning rather than only matching exact keywords.

In this tutorial, you will learn:

- What is a Vector Database?
- What are Vector Embeddings?
- How does a Vector Database work?
- What is Semantic Search?
- How does Similarity Search work?
- What is RAG (Retrieval-Augmented Generation)?
- How does Vector Database work with RAG?
- Complete RAG workflow
- Vector Database vs Traditional Database
- Popular Vector Database Technologies
- Real-world applications of Vector Databases
- Advantages and challenges of Vector Databases

This tutorial is useful for students and developers who want to understand Artificial Intelligence, Generative AI, Large Language Models, RAG, Vector Embeddings, and modern AI applications.

Read Full Article:
https://updategadh.com/what-is-vector-database/

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What is Agentic RAG? How Is It Different from Traditional RAG?

Learn how Agentic RAG takes traditional RAG further by using AI agents to plan queries, choose tools, search multiple sources, evaluate results, and refine answers.

Main Topics:

- Traditional RAG vs Agentic RAG
- Dynamic Retrieval
- Query Planning and Rewriting
- Multiple Data Sources
- Tool Calling
- Iterative Retrieval
- Result Evaluation
- Real-World AI Use Cases

Read the Complete Tutorial:
https://updategadh.com/what-is-agentic-rag/

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#AgenticRAG #RAG #AgenticAI #AI #GenerativeAI #AIAgents #LLM #ArtificialIntelligence #RAGTutorial #MachineLearning #AIStudents #UPDATEGADH
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