Competitor Analysis
Maps your main competitors and shows where you can stand out
by Pawel Huryn
Document Q&A (Langflow)
Answers your questions about your own documents, using only what the documents say
What it does
Document Q&A is an official Langflow starter template. You first add your files (PDF, CSV, text or Markdown) to a Langflow knowledge base, then type a question in the chat; the flow pulls the most relevant passages and an AI agent answers from those passages only, saying so when the answer is not there. It suits anyone who wants to ask a stack of reports, notes or manuals questions instead of reading them end to end.
Your documents stay in a knowledge base on your own Langflow, with no separate vector database to set up, and the answers stick to what they say.
Before you start
- 1langflow, on your own server or the platform's cloud.
- 2Langflow on your computer: Langflow Desktop (macOS, Windows), Docker or the Python package
- 3An API key from an AI model provider, such as OpenAI, Anthropic or Google
- 4An embedding model enabled in Langflow (for example OpenAI) to build the knowledge base
- 5Your documents added to a Langflow knowledge base before you ask questions
- !Pay per use. The AI service it calls charges for what you use.
How to start
- Open langflowYour own server or the platform's cloud.
- Import the templateDownload it from the creator's page and import it or follow the official guide. An AI agent can walk you through it with the install request.
- Run it once with test dataConnect your accounts, try it on something small and check the result.
Steps follow the creator's instructions.
Stuck setting it up?
Tell us what happened. We confirm scope and price before any paid work.
