I am using the qdrant DB and client for embedding a document as part of a PoC that I am working on in building a RAG.

I see that when I use a Manhattan distance to build the vector collection I get a high score than when I use the Cosine distance. However, the text chunk returned is the same. I am not able to understand why and how? I am learning my ropes here at RAG still. Thanks in advance.

USER QUERY

What is DoS?

COSINE DISTANCE

response: [
ScoredPoint(id=0, 
version=10, 
score=0.17464592, 
payload={
'chunk': "It also includes overhead bytes for operations, 
administration, and maintenance (OAM) purposes.nOptical Network Unit 
(ONU)nONU is a device used in Passive Optical Networks (PONs). It converts 
optical signals transmitted via fiber optic cables into electrical signals that 
can be used by end-user devices, such as computers and telephones. The ONU is 
located at the end user's premises and serves as the interface between the optical 
network and the user's local network."
}, 
vector=None, shard_key=None)
]

MANHATTAN DISTANCE

response: [
ScoredPoint(id=0, 
version=10, 
score=103.86209, 
payload={
'chunk': "It also includes overhead bytes for operations, administration, 
and maintenance (OAM) purposes.nOptical Network Unit 
(ONU)nONU is a device used in Passive Optical Networks (PONs). It converts 
optical signals transmitted via fiber optic cables into electrical signals that 
can be used by end-user devices, such as computers and telephones. The ONU is 
located at the end user's premises and serves as the interface between the optical 
network and the user's local network."
}, 
vector=None, shard_key=None)
]