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Turn raw conversations, documents, images, audio, and video into structured events, then ask questions over those events.
The backend exposes a compact set of endpoints that work together:
/event — universal ingestion: text, docs, images, audio, and video → structured events./answer — ask questions over those events, with inline citations./spacy — low-level linguistic analysis (tokens, POS, lemmas).Universal ingestion endpoint. Accepts raw text (text/plain) or multipart/form-data containing text, image, audio, video, or file.
POST /event
Content-Type: multipart/form-data
text: "Extract key events from this document"
file: contract.pdf
Event-based Q&A. Supply the question plus a set of events, and receive a concise answer with citations like [Event 1].
POST /answer
Content-Type: application/json
{
"question": "What happened in the meeting?",
"events": [
"Event 1: The CEO presented the quarterly results.",
"Event 2: The CFO discussed budget cuts.",
"Event 3: The team agreed to launch a new product."
]
}
spaCy debug endpoint. Returns tokenized output with POS tags and lemmas.
POST /spacy
Content-Type: text/plain
The contract was signed yesterday.