Build your investment co-pilot AI agent using Python and LangChain

​🔧 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!


Hosts & Community
Metacamp
Draper Startup House
The Working Capitol
MISSION+