A Practical Solution to Improve Zola's Multi-Model Responsiveness
The following optimization measures can be taken to address the model switching delay problem:
- Preloaded Model Configuration: in
app/configCatalog pre-configured endpoints and parameter templates for all models to reduce processing time for real-time requests - Create a connection pool: Modify the api routing file to keep long connections for models that are used frequently (e.g., GPT-3.5) instead of creating a new session each time
- caching strategy: in
middleware.jsSetting up SWR caching in a query returns cached results for queries with the same parameters - Front-end optimization1) Use Suspense to implement asynchronous loading; 2) Add loading state animation to improve the waiting experience
Advanced options to consider are 1) indexing the conversation history stored by Supabase, and 2) enabling WebAssembly to run locally for lightweight models such as Mistral.
This answer comes from the articleZola: Open Source AI Chat Web App with Document Upload and Multi-Model SupportThe
May not be reproduced without permission:AI productivity tools " How to optimize Zola's responsiveness when switching between multiple models?
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