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Text Search

POST
/api/v1/search/text

Execute semantic search from a text query.

Embeds the text using the specified model, then performs vector similarity search.

Args: request: Text search request with query string and parameters service: Search service (injected) embedding: Embedding service for text-to-vector (injected)

Returns: Search results with similarity scores

TextSearchRequestModel

API request model for text-based semantic search (embeds text server-side).

object
query
required
Query

Text query to embed and search

string
>= 1 characters
model_name
required
Model Name

Embedding model profile name

string
>= 1 characters
limit
Limit

Maximum number of results

integer
default: 10 >= 1 <= 100
similarity_threshold
Any of:
number
<= 1
include_content
Include Content

Include segment content in results

boolean
offset
Offset

Pagination offset

integer
0
metadata_filters
Any of:
object
key
additional properties
Any of:
string

Successful Response

SearchResponseModel

API response model for search results.

object
results
required
Results
Array<object>
SearchResultModel

API 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
<= 1
storage_key
Any of:
string
content
Any of:
string
metadata
Any of:
object
key
additional properties
Any of:
string
total_count
required
Total Count
integer
limit
required
Limit
integer
>= 1
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>
ValidationError
object
loc
required
Location
Array
msg
required
Message
string
type
required
Error Type
string
input
Input
ctx
Context
object