RAI is a multi-vendor agent framework for robotics, utilizing Langchain and ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
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Store information about vector database embedding model #272
Is your feature request related to a problem? Please describe.
Currently, the whoami packages are created using openai's embedding models. Using those with other vendors is impossible.
Describe the solution you'd like
Internal tools used for rag should make sure that the model is compatible with the vdatabase.
Describe alternatives you've considered
Creating a log file with information about the generation (vendor, models etc)
Additional context
Add any other context or screenshots about the feature request here.
Is your feature request related to a problem? Please describe. Currently, the whoami packages are created using openai's embedding models. Using those with other vendors is impossible.
Describe the solution you'd like Internal tools used for rag should make sure that the model is compatible with the vdatabase.
Describe alternatives you've considered Creating a log file with information about the generation (vendor, models etc)
Additional context Add any other context or screenshots about the feature request here.