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See also:

* An Introduction to the Delia Derbyshire Archive [video](https://www.youtube.com/watch?v=pPIqq7_RjnA)


A GREAT documentary.


Thanks, sounds amazing! I've checked it out from local library.


I'm wondering if any glass plates were recovered? I'm not sure they were all salvaged at the time, but I don't know how they would fare in the saltwater.


+1, there are definitely some sad parts to this story.


Ah, but where were the survivors buried?


How do you weight results between vector search and bm25? Do you fall back to bm25 when vector similarity is below a threshold, or maybe you tweak the weights by hand for each data set?


The algorithm I use to get a final ranking from multiple rankings is called "reciprocal ranked fusion". I use the implementation described here: https://docs.llamaindex.ai/en/stable/examples/low_level/fusi...

Which is the implementation from the original paper.


Thanks, much appreciated!


Will there be the ability to call an API and parse the JSON (e.g., to flatten) to use as a data source?


Can you tell me more about your specific use case?

You can already call an external API from Briefer and use its response within the notebook.

You could also upload any types of files and read them from disk - or even query those files using DuckDB if you want.


I must have missed that feature. I don't see it under Data Source or Integrations. Can you point me to it? Use case is mostly call an API and show one or more property values from the JSON object that comes back, or use it as a tabular data source.

Edit: Maybe I'm misunderstanding the UI and this is something you would do directly through Python?


That’s correct - it’s something you should do in Python.

To pull data from the API you can use the requests package which is already within your Python environment.

If you have sensitive API keys you can add them to your environment variables list and then read them with Python too so they’re not apparent in the code.


While your original comment might be taken as funny, this one quickly devolved into a strawman argument ending in a personal attack. Was that your intention?


It's not a strawman but it is an attack on what this person said. I don't think they are being reasonable.


I like the idea! A few things I noted: 1) despite the paged UI, the API call /rest/v1/arxiv_papers?select=*&order=published.desc is downloading all 708 articles. You will find the UI more snappy if you do server-side paging. b) most of the javascript is cached, but not all of it, e.g., page-script.js


you are correct haha, thanks for the feedback will fix this pronto


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