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A text-to-query workflow in practice

Deze oefening maakt deel uit van de cursus

Text-to-Query Agents with MongoDB and LangGraph

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Oefeninstructies

  • Initialize an OpenAI LLM with appropriate temperature value using LangChain's ChatOpenAI class.
  • Convert the natural language query provided into a MongoDB query, execute it, and obtain the results as a Python list.
  • Create a prompt template for the LLM, consisting of a system prompt and a placeholder for messages, using the .from_messages() method.
  • Chain the prompt with the LLM using the | operator, and invoke it on the query results (docs) and the user query (user_query).

Note: If you’re running DataLab in Restricted Mode, this exercise isn’t supported yet. We’re actively working on making it available in the future.

Praktische interactieve oefening

Zet theorie om in actie met een van onze interactieve oefeningen.

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