Skip to content

refine-grounding #49

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jun 3, 2025
Merged

refine-grounding #49

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/sap-ai-core/grounding-454c558.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,9 +6,9 @@ Grounding integrates external, contextually relevant, domain-specific, or real-t

Grounding is a service designed to handle data-related tasks, such as grounding and retrieval, using vector databases. It provides specialized data retrieval through these databases, grounding the retrieval process with your own external and context-relevant data. Grounding combines generative AI capabilities with the ability to use real-time, precise data to improve decision-making and business operations for specific AI-driven business solutions.

Grounding converts user provided documents into a vector reprentations which are stored as a database. The indexing pipeline preprocesses unstructured and semi structured data into chunks and embeddings. For more information, see [Pipeline API](pipeline-api-a9badce.md) and [Vector API](vector-api-0358c5c.md).
Grounding converts user provided documents into vector reprentations which are stored as a database. The indexing pipeline preprocesses unstructured and semi structured data into chunks and embeddings. For more information, see [Pipeline API](pipeline-api-a9badce.md) and [Vector API](vector-api-0358c5c.md).

The retrieval pipeline takes incoming user queries and converts into vector representations. The query vectors are used to search the database and retrieva relevant information. For more information, see [Retrieval API](retrieval-api-a27f4ad.md).
The retrieval pipeline takes incoming user queries and converts them into vector representations. The query vectors are used to search the database and retrieva relevant information. For more information, see [Retrieval API](retrieval-api-a27f4ad.md).

The Pipeline API is compatible with the following data repositories:

Expand Down
Loading