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018: Architecting Enterprise Agent Ecosystems with Google ADK
Notebook LM: 52 Sources
```
Let's say we have an engineer who is building with AI tooling heavily. RAG pipelines, semantic data aggregation utilities supporting multiple users, custom tools for every niche use case whipped up in hours and saving days of labor for production and sales teams.
Let's say google vertex, and the ADK is being introduced.
The engineer is using docker, chromaDB, postgres, React, asp.net, WPF and other concrete technologies and it is working very well. What's the value the the following google technologies can offer?
- Google Vertex
- ADK (Agent developer Kit)
Where is the vendor lock in, where is the responsible provenance, where is the scalability?
How should google position and pitch their tools to enhance the engineer's systems and tooling?
```
```
Let's say we have an engineer who is building with AI tooling heavily. RAG pipelines, semantic data aggregation utilities supporting multiple users, custom tools for every niche use case whipped up in hours and saving days of labor for production and sales teams.
Let's say google vertex, and the ADK is being introduced.
The engineer is using docker, chromaDB, postgres, React, asp.net, WPF and other concrete technologies and it is working very well. What's the value the the following google technologies can offer?
- Google Vertex
- ADK (Agent developer Kit)
Where is the vendor lock in, where is the responsible provenance, where is the scalability?
How should google position and pitch their tools to enhance the engineer's systems and tooling?
```
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By News ReDownloadNotebook LM: 52 Sources
```
Let's say we have an engineer who is building with AI tooling heavily. RAG pipelines, semantic data aggregation utilities supporting multiple users, custom tools for every niche use case whipped up in hours and saving days of labor for production and sales teams.
Let's say google vertex, and the ADK is being introduced.
The engineer is using docker, chromaDB, postgres, React, asp.net, WPF and other concrete technologies and it is working very well. What's the value the the following google technologies can offer?
- Google Vertex
- ADK (Agent developer Kit)
Where is the vendor lock in, where is the responsible provenance, where is the scalability?
How should google position and pitch their tools to enhance the engineer's systems and tooling?
```
```
Let's say we have an engineer who is building with AI tooling heavily. RAG pipelines, semantic data aggregation utilities supporting multiple users, custom tools for every niche use case whipped up in hours and saving days of labor for production and sales teams.
Let's say google vertex, and the ADK is being introduced.
The engineer is using docker, chromaDB, postgres, React, asp.net, WPF and other concrete technologies and it is working very well. What's the value the the following google technologies can offer?
- Google Vertex
- ADK (Agent developer Kit)
Where is the vendor lock in, where is the responsible provenance, where is the scalability?
How should google position and pitch their tools to enhance the engineer's systems and tooling?
```