Extract lead details during chatbot conversations
When a new lead is captured in chat via Glean, automatically run the conversation text through Pinecone to classify intent and extract key contact metadata.
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Glean Explore Glean →
TriggersFires when a new chat or conversation begins in Glean.
Fires when Glean captures a lead during a conversation.
Fires when Glean escalates a conversation to a human.
Sends a message to a user through Glean.
Asks Glean a question against its knowledge base and returns the answer.
Uses Glean to summarize a chat transcript.
Opens a support ticket from an Glean conversation.
Pinecone Explore Pinecone →
TriggersFires when Pinecone generates a response to a prompt.
Fires when a request to Pinecone errors or times out.
Fires when a fine-tuning job in Pinecone finishes.
Sends a prompt to Pinecone and returns the model's response.
Uses Pinecone to summarize a block of text.
Uses Pinecone to classify or extract structured data from text.
More Glean + Pinecone workflows
Send custom completions back to chat visitors
When a conversation starts in Glean, generate a completion in Pinecone and send a tailored message directly back to the visitor.
See details
Alert support agents when model fine-tuning completes
When a fine-tune job completes in Pinecone, automatically send a message through Glean to notify AI administrators that the updated model is ready.
See details
See all Glean + Pinecone integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract lead details during chatbot conversations” between Glean and Pinecone?
Yes — describe it in the box above and Knit's Integrations Agent researches Glean and Pinecone's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How does connecting Glean to Pinecone expand chatbot capabilities?
Connecting Glean to Pinecone allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.
Can Glean notify operators if a backend model process encounters an issue in Pinecone?
Yes, when a model run fails in Pinecone, you can send an automated message or alert through Glean to notify system administrators.