vectros 0.30.0

Vectros AI Platform SDK — hybrid search, document ingestion, structured records, and inference for your application.

Vectros SDK for Python

The official Python client for the Vectros API — hybrid search, document ingestion, structured records, and grounded inference for your application.

Installation

pip install vectros

Requires Python 3.8+.

Quick start

import os
from vectros import VectrosApi

client = VectrosApi(
    base_url="https://api.vectros.ai",
    token=os.environ["VECTROS_API_KEY"],  # sk_live_... or sk_test_...
)

# Hybrid (keyword + semantic) search over your indexed content
results = client.search.content(
    query="patient intake form diabetes",
)

# Ingest a document — extracted, chunked, and indexed for search + RAG
doc = client.documents.ingest_document(
    title="Patient Intake Form — Jane Doe",
)

# Write a structured record against one of your schemas
record = client.records.create_record(
    type_name="intake_form",
    schema_id="6ba7b810-9dad-11d1-80b4-00c04fd430c8",
    payload={"first_name": "Jane", "email": "[e-mail]"},
)

An AsyncVectrosApi with the same surface is available for asyncio.

Authentication

The SDK sends whatever credential you pass in the Authorization: Bearer <token> header. Two credential types are accepted:

Type	Prefix	Lifetime	Use from
API key	sk_live_* / sk_test_*	Long-lived	Server only — full tenant access
Scoped token	st_*	Short-lived	Server or browser — narrowed scope, auto-expiring

Keep API keys server-side only. For untrusted runtimes, mint a short-lived scoped token on your backend and pass it as token. See the authentication guide for the full pattern.

What you can do

• Hybrid search & RAG — client.search, client.inference — vector + keyword search and grounded document Q&A over your indexed corpus.
• Documents & folders — client.documents, client.folders — ingest, organize, retrieve, and look documents up by field.
• Structured records — client.records — create, read, update (full and partial), delete, and look records up by indexed field.
• Schemas — client.schemas — define and evolve record/document schemas.
• Identity & access — client.identity, client.auth — manage clients, organizations, and users; mint and revoke scoped credentials.

Full API reference

Every method, parameter, and type is documented in reference.md.

Rate limits

Requests are rate limited per account on a fixed one-minute window — writes, searches, and inference count against it; reads do not. When you exceed the limit the API returns HTTP 429 with a Retry-After header (seconds until the window resets) plus X-RateLimit-Limit and X-RateLimit-Remaining. Honor Retry-After (or back off exponentially with jitter), and pace bulk work so your steady rate stays under your plan's per-minute budget. See the rate limits guide for the per-plan limits.

Documentation

• Guides & reference: docs.vectros.ai
• Product: vectros.ai

License

Apache License 2.0.