Build a workflow that ingests bitovi blog

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Reference no: EM133860896

Question: Bitovi Blog AI Agent - Technical Exercise The goal of this exercise is to design and implement an AI-powered agent that can answer questions based on Bitovi''s blog articles.

You will use self-hosted n8n to build a workflow that ingests Bitovi blog articles and leverages Retrieval-Augmented Generation (RAG) to provide relevant answers. You may use Bitovi''s n8n guide as a starting point. Requirements You will need to: Ingest all Bitovi Blog Articles: Create an automated workflow to fetch, store, and index all articles from Bitovi's blog.

Build an AI Agent with RAG: Implement a question-answering system that utilizes the ingested blog data to provide relevant responses. Deploy the Workflow: Ensure the system is functional and can respond to queries in a timely manner. Exercise Breakdown Data Ingestion Workflow Use n8n to scrape or fetch articles from the Bitovi Blog. Design a storage solution that enables efficient retrieval and processing of blog article data for the AI agent. Ensure the workflow is automated and can periodically update with new articles.

AI Agent with RAG Implement a Retrieval-Augmented Generation (RAG) pipeline for your agent. Ensure responses are concise, relevant, and grounded in the blog content, and include reference links back to the original articles.

Deliverables n8n Workflow File: Exported JSON of the n8n workflow. Demo Video or Live Demo: A short video (2-5 minutes) demonstrating the workflow in action. Evaluation Criteria Completeness: Did you successfully ingest the blog articles, implement RAG-based answering, and include reference links in responses?

Accuracy & Relevance: Does the AI agent provide useful and accurate answers? Documentation & Presentation: Is the project well-documented and easy to understand? Example Queries Here are a few example queries that the AI agent should be able to handle: "What is Bitovi''s latest blog post about?" "Can you show me all Bitovi articles about DevOps?" "How many articles does Bitovi have about AI?" "What kind of tools does Bitovi recommend for E2E testing?"

Reference no: EM133860896

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