faqai 0.2.0

Official Python SDK for FAQai.app — turn documents into production-ready RAG datasets.

FAQai Python SDK

Official Python client for FAQai.app — turn any document into production-ready RAG datasets (Canonical Q&A, Query Variants, Evaluation, Adversarial, and RAG Chunks) and export to 16 formats including Pinecone, Qdrant, pgvector, Chroma, Weaviate, Milvus, LanceDB, and Upstash.

Large files just work. Uploads above ~4 MB are automatically routed through the FAQai upload proxy, so you never hit the serverless 4.5 MB body limit and never see a 413 — up to your plan's 25 MB maximum, in a single call.

Install

pip install faqai

Quickstart

from faqai import FaqaiClient

client = FaqaiClient("faq_your_api_key")  # or set FAQAI_API_KEY

# Upload (any size up to your plan limit) and wait for processing
doc = client.upload("large-report.pdf", wait=True)
print(doc["status"])  # "completed"

# List generated datasets
datasets = client.list_datasets(doc["id"])
for ds in datasets["datasets"]:
    print(ds["dataset_type"], ds["item_count"])

# Export a dataset for your vector DB
ds_id = datasets["datasets"][0]["id"]
client.export(ds_id, "pinecone", path="pinecone.json")

# Search your generated Q&A
hits = client.search("refund policy", dataset_type="canonical_qa")
print(hits["total"])

# Coverage report
print(client.coverage(ds_id)["coverage_percent"])

Ingesting from a URL or website

No file needed — point FAQai at a public web page, or crawl a whole same-domain site (discovered via its sitemap, or a breadth-first walk if there is none). Crawling honors robots.txt and your plan's per-crawl page cap (Free 5, Basic 50, Starter 150, Pro 500). Only static HTML is read, so JavaScript-rendered pages may yield little content.

# Single page
doc = client.ingest_url("https://example.com/docs/faq", wait=True)

# Crawl a site (up to 50 same-domain pages), steer generation, and wait
site = client.ingest_url(
    "https://example.com/",
    crawl=True,
    max_pages=50,
    generation_context="customer_support_bot",
    wait=True,
)
print(site.get("crawl"))  # {discovered, capped_to, estimated_pages, mode}

Configuration

Argument / env var	Default	Purpose
api_key / FAQAI_API_KEY	—	Your faq_... API key (required)
base_url / FAQAI_BASE_URL	https://faqai.app	API base URL
upload_proxy_url / FAQAI_UPLOAD_PROXY_URL	FAQai production proxy	Large-file upload proxy URL
timeout	60	Per-request timeout (seconds)
max_retries	3	Retries for 429/5xx with backoff

Error handling

All failures raise a FaqaiError (or a subclass: AuthenticationError, PermissionError_, NotFoundError, PayloadTooLargeError, RateLimitError, TimeoutError_). Each carries .status, .code, and .response_body.

from faqai import FaqaiClient, RateLimitError

client = FaqaiClient()
try:
    client.upload("doc.pdf")
except RateLimitError as e:
    print("Slow down:", e.message)

How large-file uploads work

Files ≤ 4 MB are sent directly to POST /api/v1/documents. Larger files are sent to the FAQai upload proxy (a Supabase Edge Function), which performs the 3-step presigned upload flow on your behalf and returns the same document record. You don't need to change anything — it's automatic.

License

MIT