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Open_Data_QnA
PublicThe Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.compute-image-import
Public- This tool lets you interact with Application Integration, Integration Connectors or Apigee Integration/Connector APIs. The tool lets you manage (create, del, get, list) integrations, connections etc.
- Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
- This open-source project aims to compile best practices, guidance, and comprehensive code samples for using Google Cloud Vertex AI APIs, in customer services modernization (chatbots, text-bison, search). There code samples explain how to use Google Cloud products.
opentelemetry-demo
Public- Guidelines on writing effective Google Cloud samples.
- Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
youtube-classroom-mooc
Publicpi-delivery
Publiccompute-image-windows
Public- PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.
cloud-foundation-fabric
Publiccymbal-superstore
Publiccsi-node-cache
Public