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RAG system explaining ZK, high-level and technical
straighforward implementation, using together AI open-source model:
Collect all materials relevant to ZK
All source code for contracts. (we can inject full github repos)
Embed that in a vector DB
Integrate with langchain in a RAG system
AI model router:
Route API requests to different models based on permissionless transparent router. The router should incoporate feedback from user.
A few remarks below:
What's the mechanism that will determine model selection? Obvious ones are cost and user feedback.
A good start is to limit the scope to Openai API-compatible providers. This includes openAI, together.ai, groq, which gives us a large set of proprietary and open-source models.
Can we integrate this with DA / Filecoin etc for secure RAG applications?
We can deploy on Base for low fees (and bounty).
We need to find a ZK entry into this as well.
The text was updated successfully, but these errors were encountered:
RAG system explaining ZK, high-level and technical
straighforward implementation, using together AI open-source model:
AI model router:
Route API requests to different models based on permissionless transparent router. The router should incoporate feedback from user.
A few remarks below:
The text was updated successfully, but these errors were encountered: