AI Tinkerers - Dublin Hackathon

Here are some ideas to serve as inspiration:

1. Software Development

• Code Companion: Agents that assist with code review, bug detection, and testing
• Documentation Assistant: Agents that generate and maintain technical documentation
• DevOps Optimizer: Agents that streamline deployment pipelines and infrastructure management

2. Healthcare

• Patient Care Coordinator: Agents that manage appointment scheduling and follow-ups
• Medical Research Assistant: Agents that analyze medical literature and clinical data
• Treatment Plan Optimizer: Agents that help personalize patient care recommendations

3. Finance

• Investment Advisor: Agents that provide market analysis and portfolio recommendations
• Financial Planning Assistant: Agents that help with budgeting and financial projections
• Risk Assessment Tool: Agents that evaluate financial risks and compliance issues

4. Legal

• Case Research Assistant: Agents that find relevant precedents and statutes
• Contract Analyzer: Agents that review legal documents and flag potential issues
• Legal Writing Assistant: Agents that help draft legal documents with proper terminology

5. Insurance

• Claims Processing Assistant: Agents that streamline claims review and processing
• Policy Recommendation Engine: Agents that match clients with appropriate coverage
• Fraud Detection System: Agents that identify suspicious patterns in claims data

LangGraph

Builds on LangChain by enabling cyclical graphs, which facilitate the development of complex, stateful, and multi-actor applications. Learn more about it here (https://www.langchain.com/langgraph)

Use LangGraph to build out your graphs and leverage LangGraph studio to visualize your agentic applications. We are excited to see what you will build!
https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/

Python Docs
https://langchain-ai.github.io/langgraph/concepts/why-langgraph/
JS Docs
https://langchain-ai.github.io/langgraphjs/

This repository provides a starter point that integrates LangChain with Nebius AI Studio: https://github.com/blaziken105/agentForge

Couchbase:

Capella - https://docs.couchbase.com/cloud/get-started/intro.html
To get started with Capella - https://docs.couchbase.com/cloud/get-started/create-account.html
Here’s an example to connect with Capella with Nodejs - https://www.couchbase.com/blog/quickstart-connect-to-couchbase-capella-using-node-js/
Here’s an example with Python - http://docs.couchbase.com/python-sdk/current/hello-world/start-using-sdk.html
You can find the SDKs here: https://www.couchbase.com/developers/sdks/
Python SDK: https://docs.couchbase.com/python-sdk/current/hello-world/start-using-sdk.html

All AI-focused tutorials: https://developer.couchbase.com/tutorials/?tags=Artificial%20Intelligence

The Couchbase blog has some blogs around AI integrations not covered in the tutorials: https://www.couchbase.com/blog/tag/artificial-intelligence/?ref=blog-menu

Sample apps are available here: https://github.com/couchbase-examples/. You can find multiple getting-started repositories in various frameworks and languages.

There are also some getting-started guides in a few frameworks here: https://github.com/couchbase-starter-kit

Resources that integrate Langchain:

https://www.couchbase.com/blog?s=langchain - blogs
https://developer.couchbase.com/tutorials/ - LangChain tutorials

Livestreams showcasing projects that integrate Langchain:

https://www.youtube.com/watch?v=Hzmlt74MkjQ&ab_channel=Couchbase
https://www.youtube.com/live/LgEFUrT-cDQ?si=cdzeUv1Tpg8rjx7b

Nebius:
Nebius AI has provided us with credits for their AI Studio platform, which gives you access to several OSS Models. To redeem, Check the Credits & Offers section under Event Info for instructions.
You can also find getting-started examples that integrate Nebius’s platform with MCP & agents here: https://github.com/Arindam200/awesome-ai-apps