How deeply does The Art of AI Product Development cover data agent?

Explains source integration and question decomposition through a worked scenario, but stops short of implementation detail.

Data agent

As explained in The Art of AI Product Development

A data agent is an AI agent that accesses, integrates, queries, and reasons over multiple organizational data sources.

A data agent unifies organizational data sources, builds a usable mental model, and answers questions through a convenient chat interface. It combines semantic search for unstructured data with Text2SQL for structured databases, then integrates retrieved evidence into an answer. section 9.4.2

A complex request can be handled as a sequence of analytical steps:

Retrieve product records and Q1 and Q3 2024 revenues. section 9.4.2
Compute changes between periods and rank the products. section 9.4.2
Consult product documentation and combine sources to hypothesize drivers. section 9.4.2

Revenue-growth investigation

A user asks: “What are the three products for which we had the highest revenue increase between Q1 and Q3 of 2024, and what are the possible drivers?” The agent decomposes the question, analyzes structured revenue data, and consults unstructured documentation. section 9.4.2

How The Art of AI Product Development covers it

Cover of The Art of AI Product Development

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Related concepts

similarity searchuses · Similarity search is a retrieval technique that finds or ranks items by comparing their representations with a query according to a similarity or distance measure.
data sourceuses · A data source is an origin, system, repository, or process from which data is obtained for use or processing.
text-to-SQLuses · Text-to-SQL is the technique of translating natural-language questions or requests into executable SQL queries over structured databases.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.