Hi all, This is something I'm unsure about:
We have a SOLR collection of documents with knn_vector_cosine embedding fields which we use to run nearest neighbor searches. We have replicas but no shards so every node has the entire core/collection of documents. We are adding and removing documents all the time in nightly add and remove batches. What I'm wondering is: - Because HNSW relates vertices to each other I don't know if, or how, SOLR "re-indexes" data as new documents are added and removed. So : 1) Does the accuracy (of nearest neighbours to a supplied embedding) get worse over time? 2) If I deleted all documents in the collection and re-loaded them (so re-indexed them) would I get different (better?) results to a nearest-neighbour knn query ? thank you for any information on this Derek -- Derek Conniffe Skype: dconnrt Email: de...@hssl.ie *Disclaimer:*This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please delete it (if you are not the intended recipient you are notified that disclosing, copying, distributing or taking any action in reliance on the contents of this information is strictly prohibited). *Warning*: Although HSSL have taken reasonable precautions to ensure no viruses are present in this email, HSSL cannot accept responsibility for any loss or damage arising from the use of this email or attachments.PFor the Environment, please only print this email if necessary.
