@googledevs: Build cross-language multi-agent AI pipelines using Google ADK and the Agent-to-Agent (A2A) protocol. Python for AI ext…
Summary
Google announces the use of ADK and Agent-to-Agent (A2A) protocol for building cross-language multi-agent AI pipelines, with an open-source Contract Compliance multi-agent engine available on GitHub.
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Build cross-language multi-agent AI pipelines using Google ADK and the Agent-to-Agent (A2A) protocol.
Python for AI extraction. Go for strict policy validation.
Open-source Contract Compliance multi-agent engine: https://t.co/uC8XFFVYxW https://t.co/MKM3yYrIfD
GoogleCloudPlatform/generative-ai
Source: https://github.com/GoogleCloudPlatform/generative-ai
Generative AI on Google Cloud
Gemini Enterprise Agent Platform, the latest evolution of Vertex AI, has been released!
Check out the
Google-Cloud-AI/agent-platformrepository for a curated list of assets for agent building on Google Cloud.
This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI with Agent Platform.
Intro Video
| Description | |
|---|---|
gemini/
|
Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more. |
search/
|
Use this folder if you're interested in using Agent Search, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder). |
rag-grounding/
|
Use this folder for information on Retrieval Augmented Generation (RAG) and Grounding. This is an index of notebooks and samples across other directories focused on this topic. |
vision/
|
Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo. |
audio/
|
Use this folder if you're interested in building your own solutions from scratch using features from Chirp, a version of Google's Universal Speech Model (USM). |
setup-env/
|
Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench. |
RESOURCES.md
|
Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud. |
Related Repositories
- ✨ Agent Development Kit (ADK) Samples: This repository provides ready-to-use agents built on top of the Agent Development Kit, designed to accelerate your development process. These agents cover a range of common use cases and complexities, from simple conversational bots to complex multi-agent workflows.
- 🚀 Agent Starter Pack
- A collection of production-ready Generative AI Agent templates built for Google Cloud.
- It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying Gen AI agents.
- Gemini Cookbook
- genai-factory - A collection of end-to-end infrastructure blueprints to deploy generative AI infrastructures in GCP, using IaC and following security best-practices.
- Google Cloud Applied AI Engineering
- Vertex AI GenMedia Creative Studio - Experience Google’s generative media foundational models + custom workflows.
- MCP Servers for GenMedia - Empower your agents with generative media tools.
- Generative AI for Marketing using Google Cloud
- Generative AI for Developer Productivity
- Vertex AI Core
- Conversational AI
- Document AI
- Gemini in Google Cloud
- Cloud Databases
- Other
- ai-on-gke
- ai-infra-cluster-provisioning
- solutions-genai-llm-workshop
- terraform-genai-doc-summarization
- terraform-genai-knowledge-base
- genai-product-catalog
- solutionbuilder-terraform-genai-doc-summarization
- solutions-viai-edge-provisioning-configuration
- mis-ai-accelerator
- dataflow-opinion-analysis
- genai-beyond-basics
- Gemini by Example
Contributing
Contributions welcome! See the Contributing Guide.
Getting help
Please use the issues page to provide suggestions, feedback or submit a bug report.
Disclaimer
This repository itself is not an officially supported Google product. The code in this repository is for demonstrative purposes only.
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