Multi Model Search
POST
/api/v1/search/multi-model
Execute semantic search across multiple embedding models.
Args: request: Multi-model search request with vectors for each model service: Search service (injected)
Returns: Search results grouped by model with aggregation
Raises: HTTPException: 400 for invalid request, 500 for server errors
Request Body required
Section titled “Request Body required ” MultiModelSearchRequestModel
API request model for multi-model search.
object
query_vectors
required
Query Vectors
Map of model_name to query vector
object
key
additional properties
Array<number>
limit_per_model
Limit Per Model
Maximum results per model
integer
include_content
Include Content
Include segment content in results
boolean
aggregation
Aggregation
How to aggregate results across models
string
Responses
Section titled “ Responses ”Successful Response
MultiModelSearchResponseModel
API response model for multi-model search.
object
responses
required
Responses
Array<object>
SearchResponseModelAPI response model for search results.
object
results
required
Results
Array<object>
SearchResultModelAPI model for a single search result.
object
vector_id
required
Vector Id
string format: uuid
segment_id
required
Segment Id
string format: uuid
model_name
required
Model Name
string
similarity
required
Similarity
number
total_count
required
Total Count
integer
limit
required
Limit
integer
offset
required
Offset
integer
model_name
required
Model Name
string
search_time_ms
required
Search Time Ms
number
index_used
required
Index Used
boolean
aggregation
required
Aggregation
string
total_results
required
Total Results
integer
search_time_ms
required
Search Time Ms
number
Validation Error
HTTPValidationError
object
detail
Detail
Array<object>
ValidationErrorobject
loc
required
Location
Array
msg
required
Message
string
type
required
Error Type
string
input
Input
ctx
Context