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Welcome to Austin LangChain: Learning AI Together

Learning in the Open​

Welcome to Austin LangChain, a community dedicated to exploring and understanding AI through the lens of LangChain! We believe in "Learning in the Open" - sharing our discoveries, challenges, and successes as we navigate the rapidly evolving world of AI together.

What is LangChain?​

LangChain is more than just a framework - it's a bridge that connects various AI technologies, making them accessible and practical. Think of it as a Swiss Army knife for AI development, bringing together:

  • Large Language Models (like GPT-4, Claude, and local models)
  • Vector Databases
  • Document Processing
  • Memory Systems
  • And much more!
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Through LangChain's integrations, we can explore the entire AI ecosystem while building practical applications.

Our Learning Journey​

Since October 2023, we've been documenting our collective learning journey through monthly meetings, hands-on labs, and community showcases. Each month brings new discoveries:

  • Starting Simple: We began with basic chatbots and document search
  • Growing Together: We progressed to advanced RAG systems and AI agents
  • Breaking New Ground: Now we're exploring cutting-edge topics like LangGraph and edge computing

Browse Our Journey​

We encourage you to explore our monthly meeting folders chronologically. Each folder contains:

  • Detailed lab notebooks
  • Presentation recordings
  • Code examples
  • Community showcases

Start from our October 2023 sessions and follow our progression through:

  • RAG implementations
  • Docker containerization
  • LangGraph development
  • GPU integration
  • AI Data Science
  • And beyond!

Learn Along With Us​

Whether you're new to AI or an experienced developer, our community offers multiple ways to learn:

  1. Monthly Meetings: Join our hands-on workshops and presentations
  2. Lab Sessions: Work through our documented notebooks at your own pace
  3. Community Showcases: See real-world applications built by members
  4. Open Discussions: Share your questions and insights

Getting Started​

  1. Browse the Labs: Start with our Labs Timeline to see our learning progression
  2. Join the Community:
  3. Attend Events: Check our Events Page for upcoming meetings

Why Learn in the Open?​

We believe that AI development should be:

  • Collaborative: Learning from each other's experiences
  • Transparent: Sharing both successes and challenges
  • Accessible: Making AI development approachable for everyone
  • Practical: Building real-world applications together

Join Our Journey​

Every month brings new technologies, techniques, and opportunities to learn. By documenting our journey, we create a resource for others while building a supportive community of AI enthusiasts.

Whether you're here to:

  • Learn AI development
  • Explore LangChain's capabilities
  • Connect with fellow enthusiasts
  • Share your knowledge

You're welcome to learn alongside us!

Resources​

Remember: Every expert was once a beginner. Join us in "Learning in the Open" as we explore the exciting world of AI together!