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Updated last year

Are there any viable approches for this

Are there any viable approches for this issue: When loading all the documents for an index using a PDF loader, how can I only update the index with PDF files that have changed or have been removed using the ElasticSearchVectorstore without re-indexing all the files again, thus saving embedding costs?
L
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I wrote an example for this the other day

When using a vectordb integration, the process is a little more complicated. You have to persist/maintain extra files

https://discord.com/channels/1059199217496772688/1163880111074971790/1163900056718553169
(The example is for chromadb, but it should work for any vector store)
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