,
Please correct me if I am wrong, I think what you are trying to say
with multimodal search is to combine both text search and vector
search to improve the accuracy of search results. As per my
understanding of search space people are coining this as Hybrid
search. We recently launched a query
ut I guess I am not the only one
seeing low accuracy as a fundamental problem, right?
Thanks
Michael
Am 14.10.23 um 09:38 schrieb Navneet Verma:
Hi Michael,
Please correct me if I am wrong, I think what you are trying to say
with multimodal search is to combine both text search and vector
sear
Hi Michael,
Please correct me if I am wrong, I think what you are trying to say with
multimodal search is to combine both text search and vector search to
improve the accuracy of search results. As per my understanding of search
space people are coining this as Hybrid search. We recently launched
er
vector search implementation.
WDYT?
Thanks
Michael
Am 13.10.23 um 00:49 schrieb Michael Froh:
We recently added multimodal search in OpenSearch:
https://github.com/opensearch-project/neural-search/pull/359
Since Lucene ultimately just cares about embeddings, does Lucene
itself real
We recently added multimodal search in OpenSearch:
https://github.com/opensearch-project/neural-search/pull/359
Since Lucene ultimately just cares about embeddings, does Lucene itself
really need to be multimodal? Wherever the embeddings come from, Lucene can
index the vectors and combine with
Hi
Did anyone of the Lucene committers consider making Lucene multimodal?
With a quick Google search I found for example
https://dl.acm.org/doi/abs/10.1145/3503161.3548768
https://sigir-ecom.github.io/ecom2018/ecom18Papers/paper7.pdf
Thanks
Michael