You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hey, thanks for the great implementation. Are there any plans to add an incremental index construction for large documents? This would be useful when we cannot store the entire corpus in memory, and want to continually corpuses to the constructed index?
The text was updated successfully, but these errors were encountered:
Hi @vishaal27 -- can you describe a little bit about how this would work? It's a situation where you can't store the corpus in memory but can store the bm25 vectors in memory, is that right? Because otherwise I think the library as implemented would fail, since the entire BM25 weights are stored as a single tensor.
Hey, thanks for the great implementation. Are there any plans to add an incremental index construction for large documents? This would be useful when we cannot store the entire corpus in memory, and want to continually corpuses to the constructed index?
The text was updated successfully, but these errors were encountered: