Text Hybrid Search
POST
/api/v1/search/text/hybrid
Execute hybrid search from a text query.
Embeds the text using the specified model, then performs vector similarity search combined with optional keyword search.
Args: request: Text hybrid search request service: Search service (injected) embedding: Embedding service for text-to-vector (injected)
Returns: Search results with similarity scores
Request Body required
Section titled “Request Body required ” TextHybridSearchRequestModel
API request model for text-based hybrid search (vector + keyword).
object
query
required
Query
Text query to embed and search
string
model_name
required
Model Name
Embedding model profile name
string
limit
Limit
Maximum number of results
integer
include_content
Include Content
Include segment content in results
boolean
offset
Offset
Pagination offset
integer
metadata_filters
Responses
Section titled “ Responses ”Successful Response
SearchResponseModel
API 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
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