Semantic search

POST

/data/v1/query/semantic

• Production server

Performs semantic similarity search across the knowledge base using vector embeddings. Returns documents ranked by semantic similarity to the query.

Authorizations

• BearerAuth

Request Body ^required

object

query

required

The search query text

string

How do I implement RAG?

sources

Filter results to specific sources

Array<string>

limit

Maximum number of results to return

integer

default: 10 >= 1 <= 100

min_score

Minimum similarity score threshold

number

default: 0.5 <= 1

filters

Additional metadata filters

object

Responses

200

Successful response

object

query

string

results

Array<object>

object

document_id

string

content

string

score

Similarity score (0-1)

number

metadata

object

source

string

title

string

url

string

content_type

string

total

integer

latency_ms

number

400

Invalid request

object

error

object

message

string

type

string

code

string

param

string

401

Invalid or missing API key

object

error

object

message

string

type

string

code

string

param

string