Compare Cortex Search for text retrieval and Cortex Analyst for structured-data questions. Review access boundaries, cost drivers and pilot acceptance criteria.
Begin by separating document-retrieval questions from structured-data questions. Finding a policy passage and aggregating sales need different preparation and evaluation. Choose capabilities from user needs rather than starting with product names.
Cortex Search versus Cortex Analyst
| Dimension | Cortex Search | Cortex Analyst |
|---|---|---|
| Primary fit | Retrievable text such as documents | Metrics and conditions in structured tables |
| Preparation | Search corpus, segmentation, refresh and visibility | Metric definitions, relationships and business meaning |
| Evaluation | Whether required supporting material is retrieved | Whether queries and results match business intent |
Cortex Search combines semantic and keyword retrieval. A question-answering application still needs source presentation, handling of insufficient evidence and response design. Evaluate retrieval separately from the correctness of the final business answer.
Cortex Analyst connects natural-language questions to SQL for structured data. Clarify terms such as revenue, margin and contracts, including periods and cancellations. Compare with existing BI reports before deciding whether an AI interface adds value.
Search Service Access Is Not Identical to Source Table Access
The Cortex Search documentation explains that queries execute with the service owner’s rights. A user’s inability to directly read a source table does not automatically establish the same boundary for search results. Review service access and indexed data together.
Where visibility differs by department or customer, review corpus or service separation and access design, and include negative authorization tests. Do not rely solely on a caller-supplied filter to establish access boundaries.
Define Refresh and Usage Assumptions Before Comparing Costs
Identify service-specific processing such as refresh, storage, queries, model use and associated warehouse work. Estimate corpus size, update frequency, users and questions, then measure pilot consumption. Check regional availability and conditions for your account.
Start a Pilot with Real Questions and Negative Tests
Collect user questions and prepare expected sources or results. For Search, test missing evidence, stale documents and unanswerable questions. For Analyst, test terminology, periods, join duplication and empty results. If both are used, define how each question is routed.
Evaluate correctness, evidence, permissions, latency, consumption and review effort separately. Provide a correction path and assign reevaluation after data changes. Agree in advance on the difference between a successful demonstration and operational acceptance.
Frequently Asked Questions
Do We Need Both Search and Analyst?
No. Separate document-retrieval needs from structured-data analysis and pilot only the capabilities needed for the workflow.
What to Share in an AI Implementation Consultation
Share whether you use Snowflake, the text or structured data involved, intended users, visibility boundaries and sample questions. Discuss data quality, business definitions, Cortex AI evaluation, integration and operations with For f.
For f AI and data analytics services
RAG document updates and version management
Designing natural-language data analysis
Sources and Verification Date
Sources checked on November 11, 2026. Product facts are based on the official sources below; the implementation steps and comparison criteria are editorial proposals. Verify features, availability and pricing against current documentation and your environment before implementation.
