Course overview
Build a chatbot that can extract and use a website’s content and documentation. The practical work explains page ingestion via pipelines (n8n), vector indexing (Pinecone), similarity queries and contextual enrichment using Perplexity and Gmail.
Objective: enable the chatbot to read, index and answer from the website and its documentation.
Prepare the environment: crawlers, embedding storage (Pinecone) and connections to Perplexity/Gmail.
Build progressively: ingestion, chunking, index creation and similarity queries for precise answers.
Security checkpoint: access rights management, index updates and limiting sensitive data indexed.
1lessons
1lessons
6activities
6exercises
0videos
Skills and topics covered
Set up a support-oriented RAG chatbotRestrict web search to the company's domainCreate a ticket when the agent cannot resolve an issueIntegrate a support widget into a websiteApplied AI for business functionscustomer-support-e-commercen8nPerplexityPineconeGmailavancé
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