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Rag and Talk To Your CSV File Using Ollama DeepSeekR1 and Llama Locally. How RAG Prevents Chatbot Hallucinations & Boosts Accuracy #chatbots #rag #promptengineering #aichatbots

Welcome to the channel & today’s tutorial! In this video, we're tackling a critical issue in chatbot development—preventing AI hallucinations that lead to incorrect or misleading responses. Whether you're a developer, business owner, or AI enthusiast, this tutorial will show you how to integrate Retrieval Augmented Generation (RAG) to ensure your chatbot only delivers accurate, up-to-date information.

🎥 In this video, we cover:
✔️ The Chatbot Challenge: Understanding why AI chatbots sometimes generate fake or hallucinated responses.
✔️ Prompt Engineering: How to craft effective prompts that guide your chatbot.
✔️ Introducing RAG: Learn how Retrieval Augmented Generation uses external data (like a pre-prepared file) to keep your chatbot's responses accurate.
✔️ Practical Demo: Step-by-step integration using deepseek-r1, Llama, and Ollama to handle real-world scenarios like customer inquiries about international shipping policies.
Enhance your chatbot's performance and reliability, ensuring it provides only the correct answers when customers ask tough questions!

Resources:

Deepseek-R1 and ollama:    • How to Run Deep Seek R1 Locally Using Olla...  
What is RAG/ prompt engineer:    • Fine-Tuning vs RAG vs. One-Shot vs. Few-Sh...  
Code: https://github.com/khanhvy31/Rag-with...

🔥 Transform your chatbot experience! Implement these strategies to eliminate AI hallucinations and deliver seamless customer interactions every time.

📢 What do YOU think? Drop your questions & insights in the comments below!

Chapters: 00:00 – Introduction
00:30 – The Chatbot Challenge: Understanding Hallucinations
01:45 – Setting up a virtual environment and API and packages
04:30 – Setting model (deepseek and llama) using ollama
04:58 – Script preprocessing - chunk and embedding
10:28 - Prompt Engineer, design prompt before RAG
12:16 - Langchain - RAG - details
16:16 - Result with Deepseek and llama
17:06 – Conclusion & Best Practices

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Twitter (X): https://x.com/khanhvy31
Linkedin:   / khanh-vy-nguyen0331  
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📩 For business inquiries: [email protected]
🎬 Suggested Videos:
▶️    • Fine-Tuning vs RAG vs. One-Shot vs. Few-Sh...  
▶️    • Build a Chatbot in 15 Minutes with Streaml...  
▶️   • How to Run Deep Seek R1 Locally Using Olla...  
▶️   • How I Learn To Create an Advanced Chatbot ...  

================================= 🔎 Related Phrases: Chatbot Hallucinations, AI Prompt Engineering, Retrieval Augmented Generation, Deepseek-R1, Llama via Ollama, AI Accuracy, Chatbot Tutorial, Preventing AI Hallucinations, Accurate AI Responses, AI Integration

#chatbots #RAG #promptengineering #deeplearning #ai #machinelearning #automation #chatboottutorial