diff --git a/custom_dc/index.md b/custom_dc/index.md index 5f05db03d..7881cbd5e 100644 --- a/custom_dc/index.md +++ b/custom_dc/index.md @@ -42,7 +42,7 @@ For the following use cases, a custom Data Commons instance is not necessary: | Interactive tools (Exploration tools, Statistical Variable Explorer, etc.) | yes | yes | | Natural language query interface | yes, using Google AI technologies and models | yes, using open-source models only1 | | REST APIs | yes | yes, no additional setup needed | -| Python and Pandas API wappers | yes | yes, but requires additional setup2 | +| Python and Pandas API wrappers | yes | yes, but requires additional setup2 | | Bigquery interface | yes | no | Google Spreadsheets | yes | yes, but requires additional setup2 | | Site access controls | n/a | yes, using any supported Cloud Run mechanisms3 | @@ -63,7 +63,7 @@ A custom Data Commons instance uses custom data that you provide as raw CSV file In addition to the data, a custom Data Commons instance consists of two Docker containers: one with the core services that serve the data and website; and one with utilities for managing and loading custom data and embeddings used for natural-language processing. -Details about the components that make up the containers are provided in the [Getting started](quickstart.md) guide. +Details about the components that make up the containers are provided in the [Getting started](/custom_dc/quickstart.html) guide. ## Requirements and cost