Open riverma opened 1 year ago
+1'd by @ramesh-maddegoda, @drewm-jpl, @stirlingalgermissen, @AaronPlave, @nttoole, @rtapella, @MJJoyce, @galenatjpl, @jeffreypon, @Scotchester, @kgrimes2, @pymonger, @hookhua
Seems like modernizing the VICAR documentation from https://www-mipl.jpl.nasa.gov/mipex.html would fit well with this. It would be ideal to find a hosting source for the public documentation which is not a self-managed server.
Can't seem to find where on the airflow documentation site I found this, but they have created a channel that was trained on all their documentation so that if you have a paid account you can query the documentation.
https://chat.openai.com › g-lp2HCBHUY-ask-airflow
Nice - thanks for the heads up @jl-0. If you come across other ideas on LLM integration (especially free) please keep us posted!
Consider using an open source LLM to create an “Ask
Unlike the example you’d want to store the trained data in a data store. Testing to see how much documentation can be loaded would be key. Lang chain seems to have support for that. Additionally you’d want to have the “Ask Product” seeded with the documentation so it would not have to load it on each request.
This approach could also work for something that needs to be hosted and trained with internal information to an organization.
Once trained the “Ask
Suggest using Aerie as a use case. Their public documentation is here https://nasa-ammos.github.io/aerie-docs/ with the source here https://github.com/NASA-AMMOS/aerie-docs.
Checked for duplicates
Yes - I've already checked
Best Practice Guide
Documentation
Best Practice Guide Sections
Trade Studies
Describe the improvement
We've gotten input from folks that they have a need for choosing a best documentation hosting solution, as well as how to get started with it. Currently, we have a table of tools to choose from but its fairly bare bones and difficult to interpret. Let's make this easier: https://nasa-ammos.github.io/slim/documentation/trade-studies/