Google Cloud

• Access to Google Cloud may be obtained by signing up for a no cost trial at https://cloud.google.com/free or using an existing Google Cloud account for which you may request $50 in Google Cloud credits by completing this form (while supplies last).  

Elastic

Build innovative AI Search experiences with Elastic search

Adopting Generative AI in real life, domain-specific and large scale scenarios can be challenging. Elastic provides you the scale, the speed, the relevance and the flexibility to empower conversational AI with everything needed to succeed. E-commerce search bars, customer support or internal employee knowledge search are some of the most common use cases; what's the most innovative use case you can think of, making the most out of Eastic’s vector platform capabilities and Google’s GenAI?

To learn more about getting started, watch our webinar: "Hackathon Kickstart: Your Guide to the Elastic & Google Cloud Challenge."

We’ll evaluate submission based on innovation, Elasticsearch AI-powered search adoption, technical integration with Google’s Data & AI services and business impact.

Here are some guidelines to start with, but don’t put a stop to your creativity!

• Pick an exciting and unexplored realm you’re interested in where you see GenAI and Elasticsearch innovating and bringing value

• Think about conversational and actionable user experiences

• Adopt hybrid search across structured and unstructured data

• Leverage multimodal/multilingual capabilities from both Elastic and Google Cloud

• Make Gemini private-context-aware with Elasticsearch using native integrations

• Explore the Elastic’s open Inference API, AI Ecosystem and VertexAI partnerships

• Optionally monitor the experience with Elastic Observability & Security

How do I get started?

If you haven’t already, the easiest way we suggest to get started with Elastic is with a 14-days free Elastic Cloud trial. Create a serverless project, so infra and scaling will be managed for you, and choose your favourite Google Cloud region.

As an alternative you can subscribe through the Google Cloud Marketplace.

Resources

• Hands-on learning 

• Tutorials - Elasticsearch Labs 

• Elasticsearch vector database for native grounding in Google Cloud’s Vertex AI Platform

• Grounding with Elasticsearch | Generative AI on Vertex AI 

• Load and search with multilingual model 

• Vertex AI integration with Elasticsearch open inference API brings reranking to your RAG applications

• Vertex AI integration with the Elasticsearch Open Inference API for reranking

• Iterate and create RAG applications in minutes with Gemini

• Vector Search using Gemini Embeddings and Elasticsearch

• Question Answering using Gemini, Langchain and Elasticsearch

• Create a Google Vertex AI inference endpoint | Elasticsearch API documentation 

• Elastic AI Assistant for Observability and Search

• Google Cloud Platform Integration

• LLM Observability for Google Cloud’s Vertex AI platform - understand performance, cost and reliability

Fivetran

• Webinar (Oct 8th at 9am PT) -- Move Data, Build AI Apps, Earn Recognition
  • Webinar recording can be accessed here.
• Office hours (Oct 15th at 9am PT)
  • Video call link: https://meet.google.com/fbi-uyci-ksb
  • Or dial: ‪(US) +1 567-402-0024‬ // PIN: ‪333 958 154‬#
  • More phone numbers: https://tel.meet/fbi-uyci-ksb?pin=4786249955947

Fivetran Challenge reminders:

• Projects must interact with a custom connector powered by Fivetran Connector SDK.

• Projects must utilize Fivetran Destinations in Google Cloud, including BigQuery, Google Cloud Storage, or Google Cloud SQL.

• Projects must use Google Cloud AI tools (e.g., Vertex AI, Gemini, BigQuery ML, Agent Builder, Document AI, etc.).

• Solutions should be relevant to modern AI/data, including LLMs, agentic apps or workflows, RAG, automation, or augmented analytics.

• Extra credit for engagement with our sample connector Github repository.

Resources

• Fivetran Trial – 14-day free trial

• Connector SDK Docs – Build and deploy custom connectors

• Fivetran sample connector GitHub – Ready-to-fork templates for Connector SDK

• Fivetran Connector SDK AI system instructions - Instructions for your AI model/IDE

• Fivetran API Reference – Full REST API including metadata, usage, logs, and connectors

• Fivetran API sample project -  REST API example code for automating Fivetran

• Quickstart: Fivetran + BigQuery - Setup guide for BigQuery Destination

Connect

• Join our Devpost Discord!