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Add explanation of embeddings #500

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merged 4 commits into from
Aug 16, 2024
Merged

Add explanation of embeddings #500

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8d9b768
Add explanation of embeddings
InAnYan Aug 14, 2024
f0ce409
Fix from code review
InAnYan Aug 14, 2024
e8b0c71
Rework text
koppor Aug 15, 2024
3052a57
Fix typo
InAnYan Aug 16, 2024
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Fix typo
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@InAnYan
InAnYan committed Aug 16, 2024
commit 3052a5796225c42429313307aea4c5a4b9131057
2 changes: 1 addition & 1 deletion en/ai/README.md
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Expand Up @@ -29,7 +29,7 @@ In this window you can see the following elements:

JabRef uses external AI providers to do the actual work.
You can choose between OpenAI, Mistral AI, and Hugging Face.
They all run "Large Language Models" (LLMs) to process the quests.
They all run "Large Language Models" (LLMs) to process the requests.
The AI providers need chunks of text to work.
For this, JabRef parses and indexes linked PDF files of entries:
The file is split into parts of fixed-length (so-called *chunks*) and for each of them, an *embedding* is generated.
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