Bhagavad Gita GPT assistant - Build fast RAG pipeline to index 1000+ pages using Binary Optimization
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Bhagavad Gita GPT assistant - Build fast RAG pipeline to index 1000+ pages using Binary Optimization
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DeepSeek R-1 and Qdrant Binary Quantization
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DeepSeek R-1 and Qdrant Binary Quantization
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Check out the latest tutorial where we build a Bhagavad Gita GPT assistant—covering:
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Check out the latest tutorial where we build a Bhagavad Gita GPT assistant—covering:
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- DeepSeek R1 vs OpenAI O1
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- DeepSeek R1 vs OpenAI O1
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- Using Qdrant client with Binary Quantization
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- Using Qdrant client with Binary Quantization
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- Building the RAG pipeline with LlamaIndex
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- Building the RAG pipeline with LlamaIndex
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- Running inference with DeepSeek R1 Distill model on Groq
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- Running inference with DeepSeek R1 Distill model on Groq
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- Develop Streamlit app for the chatbot inference
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- Develop Streamlit app for the chatbot inference
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Watch the full implementation here: 
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Watch the full implementation here: 
https://www.youtube.com/watch?v=NK1wp3YVY4Q
https://www.youtube.com/watch?v=NK1wp3YVY4Q
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Bhagavad Gita GPT assistant - Build fast RAG pipeline to index 1000+ pages using Binary Optimization

DeepSeek R-1 and Qdrant Binary Quantization

Check out the latest tutorial where we build a Bhagavad Gita GPT assistant—covering:
- DeepSeek R1 vs OpenAI O1
- Using Qdrant client with Binary Quantization
- Building the RAG pipeline with LlamaIndex
- Running inference with DeepSeek R1 Distill model on Groq
- Develop Streamlit app for the chatbot inference

Watch the full implementation here: https://www.youtube.com/watch?v=NK1wp3YVY4Q
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