Perform basic prompting with an OpenAI model.
Workflows
Meeting Summary
Transcribe a meeting (custom AssemblyAI Transcriber using the current API), summarize it with a Summary Agent, and chat about it with a Chat Agent grounded in the transcript and backed by Memory.
What it does
Transcribe a meeting (custom AssemblyAI Transcriber using the current API), summarize it with a Summary Agent, and chat about it with a Chat Agent grounded in the transcript and backed by Memory.
Get started
Download the JSON flow from the source, import it into a compatible Langflow installation, then configure the model, provider credentials and any data sources required by its components. This template has not been executed by this directory.
Setup takes place on the publisher’s site. Some tools require accounts, API keys, a compatible host or paid services. Review permissions before connecting.
Sources & verification
Primary-source metadata retrieved; installation and runtime behavior not tested.
Source checked 2026-10-14. This is not a security certification or a guarantee that installation will work in your environment.
Explore related tools
Selected by shared tasks
Ask questions about your own document using a built-in Knowledge Base (RAG). File ingests into the KB; an Agent answers from retrieved context. No external vector database required.
Upload a financial report; an Agent extracts key metrics (Gross Profit, EBITDA, Net Income, ...) as structured output. Core components only - the Agent's built-in structured output replaces the Structured Output component; File replaces …
Upload an image; a vision Language Model classifies its sentiment (positive/negative/neutral) and briefly describes it. The Language Model receives the image natively, so the model actually sees it.