RAG chatbot + LangChain to build your investment co-pilot

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🔧 What You’ll Learn

• ​📚 RAG Fundamentals – how retrieval-augmented generation boosts LLMs
• ​🔗 LangGraph Basics – build your first RAG chatbot step-by-step
• ​🧩 Retrieval Tools – integrate vector stores like FAISS or Pinecone
• ​✍️ Prompt Design – craft effective retrieval & generation prompts
• ​🛠 Debugging – optimize and troubleshoot RAG workflows

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​💻 Hands-On

​You’ll build a working RAG chatbot that retrieves data, answers queries, and reasons through tasks.

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​👥 Who Should Attend?

• ​Developers curious about AI and chatbots
• ​Data enthusiasts exploring LLMs in practice
• ​Builders who prefer learning by doing
• ​Beginners to intermediates in AI systems

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​📍 Details

• ​Duration: 3 hours
• ​Location: Singapore (venue shared after RSVP)
• ​Requirements: Laptop with Python installed
• ​Perks: 🍕🥤 Complimentary snacks & drinks + free coworking day pass

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​👨‍🏫 Instructor

​Gokula Krishna – AI Startups CTO, 10+ years in software engineering, specializes in AI-driven scalable systems.

​🌐 Blog: gokulakrishna.co

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​🎁 What You’ll Get

• ​Sample code & templates
• ​Workshop slides & GitHub repo access
• ​Hands-on experience building your own RAG chatbot
• ​Confidence to explore advanced use cases

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​🎟️ Limited seats – reserve your spot now!

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Host or Publisher Metacamp