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Fix Qdrant cloud indexing: Add keyword index for 'type' field during #170

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Fix Qdrant cloud indexing: Add keyword index for 'type' field during #170

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10 changes: 9 additions & 1 deletion src/intugle/core/semantic_search/crud.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,15 @@ def configuration(self):
}
embeddings_configurations = {**embeddings_configurations, **config}

configuration = QdrantVectorConfiguration(vectors_config=embeddings_configurations)
# Payload schema with keyword index for "type" field required for filtering
payload_schema = {
"type": models.PayloadSchemaType.KEYWORD,
}

configuration = QdrantVectorConfiguration(
vectors_config=embeddings_configurations,
payload_schema=payload_schema
)

return configuration

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2 changes: 2 additions & 0 deletions src/intugle/core/vector_store/qdrant.py
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Expand Up @@ -21,6 +21,8 @@ class QdrantVectorConfiguration(BaseModel):

sparse_vectors_config: Optional[Mapping[str, qdrant_types.SparseVectorParams]] = None

payload_schema: Optional[Mapping[str, models.PayloadSchemaType]] = None


# Used for standardization

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