Sim Studio

Qdrant

Use Qdrant vector database

Usage Instructions

Store, search, and retrieve vector embeddings using Qdrant. Perform semantic similarity searches and manage your vector collections.

Tools

qdrant_upsert_points

Insert or update points in a Qdrant collection

Input

ParameterTypeRequiredDescription
urlstringYesQdrant base URL
apiKeystringNoQdrant API key (optional)
collectionstringYesCollection name
pointsarrayYesArray of points to upsert

Output

ParameterType
statusstring
datastring

qdrant_search_vector

Search for similar vectors in a Qdrant collection

Input

ParameterTypeRequiredDescription
urlstringYesQdrant base URL
apiKeystringNoQdrant API key (optional)
collectionstringYesCollection name
vectorarrayYesVector to search for
limitnumberNoNumber of results to return
filterobjectNoFilter to apply to the search
with_payloadbooleanNoInclude payload in response
with_vectorbooleanNoInclude vector in response

Output

ParameterType
datastring
statusstring

qdrant_fetch_points

Fetch points by ID from a Qdrant collection

Input

ParameterTypeRequiredDescription
urlstringYesQdrant base URL
apiKeystringNoQdrant API key (optional)
collectionstringYesCollection name
idsarrayYesArray of point IDs to fetch
with_payloadbooleanNoInclude payload in response
with_vectorbooleanNoInclude vector in response

Output

ParameterType
datastring
statusstring

Block Configuration

Input

ParameterTypeRequiredDescription
operationstringYesOperation

Outputs

OutputTypeDescription
matchesanymatches output from the block
upsertedCountanyupsertedCount output from the block
dataanydata output from the block
statusanystatus output from the block

Notes

  • Category: tools
  • Type: qdrant
Qdrant