Bridging Pendo Product Telemetry into an AI Knowledge Graph with Cognee

Описание и применение

Подключение Pendo к Cognee позволяет автоматически извлекать и семантически обогащать данные о продукте, превращая их в граф знаний, что упрощает задачу получения качественных вопросов от менеджеров продукта и ИИ‑агентов.

Задача

Product managers and AI agents cannot easily answer qualitative questions from Pendo telemetry without writing complex CSV exports or Segment queries.

Результат

The connector automatically extracts and semantically enriches Pendo data, allowing agents to answer questions like "Which enterprise accounts struggled with our latest SSO migration guide?" without manual exports.

Рабочий процесс

• Install the connector with pip
• Create a PendoSource instance with integration key and optional flags
• Add the source to Cognee memory
• Run cognee.cognify on the dataset
• Query the knowledge graph with cognee.search

Доказательства

Yet, when product managers or AI agents want to answer fundamental qualitative questions—like "Which enterprise accounts struggled with our latest SSO migration guide?"—they are forced to write multi-tab CSV exports or complex Segment queries.

Источник

To bridge this gap, we built and shipped the Pendo Connector for Cognee.

Источник

pip install cognee-community-connector-pendo

Источник

uv run pytest packages/connector/pendo/tests/test_pendo.py -v

Источник