Engineer 🔧 | Entrepreneur 💼 | Sustainability Champion 🌱 | Supply Chain Strategist 🔗 | Private Label Pioneer 🏷️ | Build a Better Tomorrow 🌍 Currently at Always Cool Brands in Austin, TX. Key Contributions to Austin LangChain AIMUG: Core maintainer and founder of Austin LangChain AIMUG. Established the project's foundation and learning path structure from LangChain 101 through advanced implementations. Notable Contributions: • Created the initial LangServe and Streamlit integration labs • Developed the LangGraph introduction and customer support tutorials • Implemented Neo4j graph database integration examples • Pioneered the Google Colab integration strategy for accessible learning LangChain Development: • Created foundational tutorials and labs for LangChain implementation • Developed practical examples for real-world applications RAG Implementations: • Built advanced retrieval-augmented generation systems • Integrated RAG with various data sources and storage solutions LangGraph Projects: • Developed complex LangGraph applications • Created tutorials for graph-based AI implementations Streamlit Applications: • Built interactive web interfaces for AI applications • Created user-friendly demonstration platforms Google Colab Integration: • Enhanced accessibility through Colab integration • Maintained cross-platform compatibility
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What happens when you bring together a passionate community of AI enthusiasts, developers, and innovators? Magic! That's exactly what we experienced during our February 20th Austin LangChain AIMUG community call, where we witnessed something truly special - the convergence of cutting-edge AI technologies that are setting new standards in the field.
The Austin LangChain community has been making significant strides in technical development, community growth, and event planning. This comprehensive report outlines our key initiatives, progress, and future directions from mid-January through early February 2025.
Join us tomorrow evening for our February Showcase and Mixer! We're excited to present a lineup of practical AI implementations and tool integrations that push the boundaries of what's possible with modern AI workflows.
Date: February 5, 2025
Time: 6:00 PM - 8:00 PM CST
Location: ACC - RGC 3000
After Party: The Tavern
Virtual Bridge: meet.google.com/txr-rque-xst
Learn two approaches to implementing AI image generation in your projects:
Cloud-Based Pipeline by Colin McNamara
Local GPU Optimization by Karim Lalani
Our hackathon team has developed powerful tools extending VSCode and Cline capabilities:
LangGraph Integration by Ricky Pirruccio
Extended Research Capabilities by Vaskin Kissoyan
Project Management Integration by Ricky Pirruccio
Colin will demonstrate how these tools integrate with Obsidian through Cline:
ACC - RGC 3000
1218 West Avenue, Austin, TX
Can't make it in person? Join us virtually at meet.google.com/txr-rque-xst
Join our community:
Detailed implementation notes and presentation transcripts will be added after the event.
The Austin LangChain AI Group held its community call on January 30, 2025, bringing together key members to discuss upcoming events, technical developments, and community initiatives. The call showcased the group's commitment to fostering AI innovation and community engagement in Austin.
When a group of seasoned developers, film enthusiasts, and dedicated tinkerers convenes in a buzzing city like Austin, big ideas tend to flourish. During our most recent Austin LangChain community call, we dove deep into the technical nitty-gritty—from local language-model deployments and bridging AI tools to text-to-video experimentation and 3D modeling. Here's a conversational look at the exciting progress and revelations shared during the meeting.
The Austin LangChain AI Middleware User Group gathered at Kinda Tropical for our January Hacky Hour, bringing together AI enthusiasts for an evening of creativity, collaboration, and community building. The relaxed atmosphere provided the perfect setting for members to share their latest projects, exchange ideas, and explore new possibilities in AI development.
This week's Austin LangChain AI Group Office Hours focused on advancing AI development workflows through three key areas: model distillation techniques, tool management strategies, and the emerging Open Web UI ecosystem. Participants shared experiences with running large language models locally, discussed the benefits of model distillation for practical applications, and explored how Open Web UI is revolutionizing the way we build AI-powered applications. The session highlighted a growing trend toward more efficient, customizable AI solutions that can run on consumer hardware while maintaining enterprise-grade capabilities.
(Join our weekly discussions every Tuesday at 2 pm Central on our Discord server. All experience levels welcome!)
The January meeting of the Austin LangChain AI Group was nothing short of eventful, with discussions ranging from real-world applications of AI to cutting-edge tools for building agentic infrastructure. Held on January 8, 2025, at the Austin Community College Rio Grande Campus, the meeting brought together a vibrant community of learners, developers, and innovators dedicated to exploring the ever-evolving landscape of AI.
🚀 Showcase Your Project at the MLOps World Community Corner in Austin! 🌟
Are you working on something exciting in MLOps or LangChain? Have a lab, notebook, or project you'd like to showcase? Submit your work to be featured in our Community Corner at the upcoming MLOps World Summit in Austin!
We're thrilled to announce our upcoming Austin LangChain AI Group meetup on October 2nd, 2024! This event is a fantastic opportunity for AI enthusiasts, developers, and anyone interested in the cutting-edge world of language models and AI applications.