Azure AI search vs Chroma Db

Hi all , I was trying to evaluate and compare the performance of Azure AI search index vs Chroma Db in memory index . I have heard that Chroma Db is good for high speed retrieval but relevancy of retrieved docs are not that good .

I was thinking that Azure AI search should easily outperform chroma DB , So I configured both Chroma DB and Azure AI search Index with same configuration ( HNSW with Cosin similarity ) . I used same embedding model text-embedding-3-small for embedding the test document ( 300 character small chunks) . Now I was a bit confused to see that , while testing with some queries both Vector Dbs( Indexes)are returning the same results . Even with k=4 nearest items , both are returning same 4 doc chunks ( relevancy scores are different though) I am now concerned that somehow I have messed up something, What do you guys think?? Am I supposed to see the same results with same config or I am doing something wrong?

Can you guys suggest me some good dataset for benchmarking the retrieval systems. Thanks in advance 😃