---
title: "BKFC: An Agentic Workflow for Gathering Knowledge from Google Chat"
url: https://daily.dev/posts/bkfc-an-agentic-workflow-for-gathering-knowledge-from-google-chat-gjtkqp4b2
source_url: https://mlops.community/bkfc-an-agentic-workflow-for-gathering-knowledge-from-google-chat/
type: article
source: "MLOps Community"
published: 2025-04-29T16:32:57.294Z
updated: 2025-04-29T16:33:17.152Z
tags: ["data-science", "google", "automation", "genai", "mlops"]
reading_time: 7
upvotes: 2
comments: 0
language: en
---

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# BKFC: An Agentic Workflow for Gathering Knowledge from Google Chat

**[MLOps Community](https://daily.dev/sources/mlopscommunity)** · 7 min read · 2 upvotes · 0 comments

## Summary

BKFC is a Python notebook designed to extract actionable insights from Google Chat using Google Colab, Google Chat API, and Vertex AI's Gemini models. The process involves fetching, processing, analyzing chat data with defined schemas, and reporting structured results, enabling rapid knowledge retrieval, action tracking, project awareness, and technical knowledge sharing. The notebook demonstrates practical AI applications by using agentic workflows to unlock latent information within team chats.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://mlops.community/bkfc-an-agentic-workflow-for-gathering-knowledge-from-google-chat/>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#google](https://daily.dev/tags/google), [#automation](https://daily.dev/tags/automation), [#genai](https://daily.dev/tags/genai), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/bkfc-an-agentic-workflow-for-gathering-knowledge-from-google-chat-gjtkqp4b2)