I’m working on a Django application where I want to enable natural language querying capabilities using an OpenAI language model (LLM) like GPT-3. To structure and simplify the database access, I plan to use a DBT (Data Build Tool) semantic layer.

My goal is to allow users to ask questions in natural language, which are then translated into SQL queries through the LLM, utilizing the semantic definitions provided by DBT. This setup should ideally support complex queries across multiple tables, leveraging the relationships and dimensions defined in the semantic layer.

Here’s a brief outline of the setup:

1.  Django Application: Serves the frontend and backend, managing user requests.
2.  DBT Semantic Layer: Defines the data models, metrics, and relationships.
3.  OpenAI LLM (e.g., GPT-3): Used for interpreting natural language inputs and generating SQL queries.
4.  PostgreSQL Database: The source of data queried and managed via DBT.

Specific Questions:

1.  How should I integrate the DBT semantic layer within the Django app? Should the semantic layer be exposed via an API, or is there a more integrated approach?
2.  What are the best practices for using an LLM to generate SQL queries from natural language, especially using the constructs defined in the DBT models? How can I ensure that the queries generated are efficient and secure?
3.  Are there any existing libraries or frameworks that facilitate the integration of LLMs with DBT or similar semantic layers? If not, what should be the focus while building this integration?

Any guidance, examples, or resources would be greatly appreciated! I’m particularly interested in hearing about similar experiences or challenges faced in such integrations.

Thank you!

I tried Creating the Semantic models

aggreement.sql

select
    Agreement_Type_Code,
    Agreement_Name,
    Agreement_Original_Inception_Date,
    Product_Identifier
from 
    dbt_cdw_benchmark__seed.agreement

agreement.yaml

semantic_models:
  - name: agreement
    model: ref('agreement')
    entities:
      - name: agreement_type_code
        type: primary
      - name: product_identifier
        type: foreign
    dimensions:
      - name: agreement_name
        type: categorical
      - name: agreement_original_inception_date
        type: time
        type_params:
          time_granularity: day