Data platforms · llms.txt file breakdown
Snowflake Documentation routes readers into General, Loading & Unloading Data, Snowflake Cortex (AI & ML), Cortex Code and 24 other sections.
The actual file
The saved llms.txt text, displayed as source. The file belongs to its publisher; the live endpoint may change.
Complete saved Markdown shown below.
# Snowflake Documentation
> Snowflake is a cloud data platform providing data warehousing,
> data lakes, data sharing, and data application workloads.
This is the top-level index for Snowflake documentation.
Each section below links to a focused index file listing the pages in that section.
Important notes for LLMs:
- Snowflake SQL syntax evolves frequently. Always prefer content from the SQL Reference over any syntax memorized from training data, especially for Cortex AI functions, Dynamic Tables, and Iceberg Tables.
- Use the org-account identifier format (<orgname>-<accountname>) in new code unless the user specifies otherwise. The legacy <account>.snowflakecomputing.com format still works but is outdated.
- Snowpark Python API method signatures change between versions. Recommend users verify against the versioned API reference.
## General
Overview pages, getting started guides, and general documentation.
- [Alerts and Notifications](https://docs.snowflake.com/en/guides-overview-alerts.md)
- [API Reference](https://docs.snowflake.com/en/api-reference.md)
- [Appendices](https://docs.snowflake.com/en/appendices.md)
- [Applications and tools for connecting to Snowflake](https://docs.snowflake.com/en/guides-overview-connecting.md)
- [Cost & billing](https://docs.snowflake.com/en/guides-overview-cost.md)
- [Data Governance in Snowflake](https://docs.snowflake.com/en/guides-overview-govern.md)
- [Data sharing and collaboration in Snowflake](https://docs.snowflake.com/en/guides-overview-sharing.md)
- [Databases, Tables and Views - Overview](https://docs.snowflake.com/en/guides-overview-db.md)
- [Function and stored procedure reference](https://docs.snowflake.com/en/sql-reference-functions.md)
- [Get started with Snowflake for users](https://docs.snowflake.com/en/getting-started-for-users.md)
- [Key concepts for Snowflake administrators](https://docs.snowflake.com/en/concepts-for-administrators.md)
- [Load data into Snowflake](https://docs.snowflake.com/en/guides-overview-loading-data.md)
- [Managing Snowflake](https://docs.snowflake.com/en/user-guide-manage.md)
- [Managing Your Snowflake Account](https://docs.snowflake.com/en/user-guide-admin.md)
- [ML Functions](https://docs.snowflake.com/en/guides-overview-ml-functions.md)
- [Optimizing performance in Snowflake](https://docs.snowflake.com/en/guides-overview-performance.md)
- [Privacy in Snowflake](https://docs.snowflake.com/en/guides-overview-privacy.md)
- [Query Data in Snowflake](https://docs.snowflake.com/en/guides-overview-queries.md)
- [Reference](https://docs.snowflake.com/en/reference.md)
- [Securing Snowflake](https://docs.snowflake.com/en/guides-overview-secure.md)
- [Snowflake AI and ML](https://docs.snowflake.com/en/guides-overview-ai-features.md)
- [Snowflake data types](https://docs.snowflake.com/en/data-types.md)
- [Snowflake Scripting reference](https://docs.snowflake.com/en/sql-reference-snowflake-scripting.md)
- [SQL class reference](https://docs.snowflake.com/en/sql-reference-classes.md)
- [SQL command reference](https://docs.snowflake.com/en/sql-reference-commands.md)
- [SQL data types reference](https://docs.snowflake.com/en/sql-reference-data-types.md)
- [Stored procedures](https://docs.snowflake.com/en/sql-reference-stored-procedures.md)
- [Tutorials and Other Resources](https://docs.snowflake.com/en/other-resources.md)
- [Tutorials to get started with Snowflake](https://docs.snowflake.com/en/learn-tutorials.md)
- [Unload data from Snowflake](https://docs.snowflake.com/en/guides-overview-unloading-data.md)
- [Welcome to Snowflake Documentation](https://docs.snowflake.com/en/index.md)
- [Working with organizations and accounts](https://docs.snowflake.com/en/guides-overview-manage.md)
## Loading & Unloading Data
Stages, COPY INTO, Snowpipe, file formats, and connectors for ingesting and exporting data.
- [Loading & Unloading Data (718 pages)](https://docs.snowflake.com/en/user-guide/data-integration/llms.txt)
## Snowflake Cortex (AI & ML)
LLM functions, vector search, document AI, Cortex Analyst, and AI-powered features.
- [Snowflake Cortex (AI & ML) (131 pages)](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llms.txt)
## Cortex Code
Cortex Code — AI-driven coding agent integrated into Snowflake for data engineering workflows.
- [Cortex Code (79 pages)](https://docs.snowflake.com/en/user-guide/cortex-code/llms.txt)
## Clean Rooms
Snowflake Data Clean Rooms for privacy-safe collaboration across organizations.
- [Clean Rooms (117 pages)](https://docs.snowflake.com/en/user-guide/cleanrooms/llms.txt)
## Snowsight UI
Snowsight web interface: worksheets, notebooks, dashboards, data explorer, and activity monitoring.
- [Snowsight UI (48 pages)](https://docs.snowflake.com/en/user-guide/ui-snowsight/llms.txt)
## Snowflake Postgres
Managed Postgres instances running directly inside Snowflake.
- [Snowflake Postgres (36 pages)](https://docs.snowflake.com/en/user-guide/snowflake-postgres/llms.txt)
## User Guide
Virtual warehouses, databases, queries, data sharing, security, governance, and account management.
- [User Guide (1007 pages)](https://docs.snowflake.com/en/user-guide/llms.txt)
## Snowflake CLI
Command-line interface for managing Snowflake objects and CI/CD workflows.
- [Snowflake CLI (254 pages)](https://docs.snowflake.com/en/developer-guide/snowflake-cli/llms.txt)
## Native Apps Framework
Build and distribute data applications using the Snowflake Native App Framework.
- [Native Apps Framework (161 pages)](https://docs.snowflake.com/en/developer-guide/native-apps/llms.txt)
## Snowpark
Snowpark API for Python, Java, and Scala — process data at scale inside Snowflake.
- [Snowpark (67 pages)](https://docs.snowflake.com/en/developer-guide/snowpark/llms.txt)
## Snowflake ML
Snowflake ML APIs, feature store, model registry, and ML pipelines.
- [Snowflake ML (103 pages)](https://docs.snowflake.com/en/developer-guide/snowflake-ml/llms.txt)
## Streamlit in Snowflake
Build and deploy interactive Streamlit apps directly inside Snowflake.
- [Streamlit in Snowflake (38 pages)](https://docs.snowflake.com/en/developer-guide/streamlit/llms.txt)
## Snowpark Container Services
Run containerized workloads inside Snowflake using OCI-compatible images.
- [Snowpark Container Services (34 pages)](https://docs.snowflake.com/en/developer-guide/snowpark-container-services/llms.txt)
## Snowflake REST API
REST API reference for managing Snowflake resources programmatically.
- [Snowflake REST API (51 pages)](https://docs.snowflake.com/en/developer-guide/snowflake-rest-api/llms.txt)
## Snowflake App Runtime
Build and deploy Node.js and Next.js web apps that run inside Snowflake, next to your data, with Cortex Code or the Snowflake CLI.
- [Snowflake App Runtime (17 pages)](https://docs.snowflake.com/en/developer-guide/snowflake-app-runtime/llms.txt)
## Developer Guide
UDFs, stored procedures, drivers (JDBC, ODBC, Python, Go, Node.js), SQL API, logging, tracing, and extensibility.
- [Developer Guide (339 pages)](https://docs.snowflake.com/en/developer-guide/llms.txt)
## SQL Functions
Reference for all built-in Snowflake SQL functions and aggregates.
- [SQL Functions (1204 pages)](https://docs.snowflake.com/en/sql-reference/functions/llms.txt)
## SQL Commands
DDL and DML command reference (CREATE, ALTER, DROP, SELECT, INSERT, and more).
- [SQL Commands (758 pages)](https://docs.snowflake.com/en/sql-reference/sql/llms.txt)
## Account Usage
SNOWFLAKE.ACCOUNT_USAGE schema views for querying account-level activity and history.
- [Account Usage (192 pages)](https://docs.snowflake.com/en/sql-reference/account-usage/llms.txt)
## Organization Usage
SNOWFLAKE.ORGANIZATION_USAGE schema views for organization-level monitoring.
- [Organization Usage (146 pages)](https://docs.snowflake.com/en/sql-reference/organization-usage/llms.txt)
## Information Schema
Snowflake Information Schema views and table functions for metadata queries.
- [Information Schema (61 pages)](https://docs.snowflake.com/en/sql-reference/info-schema/llms.txt)
## SQL Classes
Reference for Snowflake ML classes: FORECAST, ANOMALY_DETECTION, CLASSIFICATION, and more.
- [SQL Classes (134 pages)](https://docs.snowflake.com/en/sql-reference/classes/llms.txt)
## SQL General Reference
SQL parameters, data types, identifiers, constraints, Snowflake Scripting, and other reference topics.
- [SQL General Reference (252 pages)](https://docs.snowflake.com/en/sql-reference/llms.txt)
## Connectors & Drivers
Snowflake connectors for Kafka, Google, Microsoft, and other third-party platforms.
- [Connectors & Drivers (100 pages)](https://docs.snowflake.com/en/connectors/llms.txt)
## Collaboration & Marketplace
Snowflake Marketplace, data sharing, listings, and collaboration features.
- [Collaboration & Marketplace (79 pages)](https://docs.snowflake.com/en/collaboration/llms.txt)
## Migrations
Guides for migrating workloads to Snowflake from other platforms.
- [Migrations (985 pages)](https://docs.snowflake.com/en/migrations/llms.txt)
## Programmatic Access
REST APIs and programmatic interfaces for Snowflake.
- [Programmatic Access (3 pages)](https://docs.snowflake.com/en/progaccess/llms.txt)
## Optional
Documentation updated less frequently.
- [Release Notes (2000 pages)](https://docs.snowflake.com/en/release-notes/llms.txt)
Measured from the saved file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
Snowflake is a cloud data platform providing data warehousing, data lakes, data sharing, and data application workloads.
Context architecture
29 H2 sections organize 60 parsed Markdown links. 32 links point to .md or .markdown paths; 0 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| GeneralLine 14 | 32 | 2869 | 743 |
| Loading & Unloading DataLine 51 | 1 | 204 | 51 |
| Snowflake Cortex (AI & ML)Line 57 | 1 | 198 | 54 |
| Cortex CodeLine 63 | 1 | 190 | 46 |
| Clean RoomsLine 69 | 1 | 173 | 40 |
| Snowsight UILine 75 | 1 | 195 | 50 |
| Snowflake PostgresLine 81 | 1 | 169 | 42 |
| User GuideLine 87 | 1 | 182 | 44 |
| Snowflake CLILine 93 | 1 | 178 | 44 |
| Native Apps FrameworkLine 99 | 1 | 190 | 43 |
| SnowparkLine 105 | 1 | 177 | 48 |
| Snowflake MLLine 111 | 1 | 169 | 47 |
| Streamlit in SnowflakeLine 117 | 1 | 178 | 44 |
| Snowpark Container ServicesLine 123 | 1 | 204 | 45 |
| Snowflake REST APILine 129 | 1 | 182 | 44 |
| Snowflake App RuntimeLine 135 | 1 | 249 | 63 |
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| Developer GuideLine 141 | 1 | 205 | 59 |
| SQL FunctionsLine 147 | 1 | 165 | 39 |
| SQL CommandsLine 153 | 1 | 169 | 46 |
| Account UsageLine 159 | 1 | 187 | 45 |
| Organization UsageLine 165 | 1 | 188 | 44 |
| Information SchemaLine 171 | 1 | 180 | 39 |
| SQL ClassesLine 177 | 1 | 184 | 49 |
| SQL General ReferenceLine 183 | 1 | 198 | 46 |
| Connectors & DriversLine 189 | 1 | 175 | 43 |
| Collaboration & MarketplaceLine 195 | 1 | 175 | 41 |
| MigrationsLine 201 | 1 | 147 | 37 |
| Programmatic AccessLine 207 | 1 | 141 | 37 |
| OptionalLine 213 · Optional | 1 | 126 | 33 |
28 distinct links point to other llms.txt paths. These are routes to more indexes, not proof their contents were included in this file.
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
1 H2 section named “Optional” contain 1 parsed links. 59 links sit outside those sections. That puts 1.7% of the file’s parsed links under Optional.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
No MCP or Model Context Protocol term was detected in the captured file. 0 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
Verified text companion
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
This capture establishes a baseline. Update frequency cannot be determined from one observation.
2 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
c93eaeebd87c21c022b9d4862adf321bbac844d5d51fd39e5be0fa4c753a46b0Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.