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Enhance MongoDB docs with additional tutorials

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Update mongodb.adoc to include links to both beginner and intermediate
content for Spring AI and MongoDB integration. Add a new section
"Tutorials and Code Examples" with:

- Link to the Getting Started guide for basic integration
- Link to a detailed RAG tutorial for more advanced usage

This change provides users with a clear path from initial setup to
more complex implementations using the MongoDB Atlas Vector Store.
This commit is contained in:
ashni
2024-09-24 11:49:26 -04:00
committed by Mark Pollack
parent ee00c620c6
commit c5f07e5402
1 changed files with 4 additions and 1 deletions
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5
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/mongodb.adoc
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@@ -256,5 +256,8 @@ List<Document> results = vectorStore.similaritySearch(
);
----
== Tutorials and Code Examples
To get started with Spring AI and MongoDB:
If you would like to try out Spring AI with MongoDB, see https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-integrations/spring-ai/#std-label-spring-ai[Get Started with the Spring AI Integration].
* See the https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-integrations/spring-ai/#std-label-spring-ai[Getting Started guide for Spring AI Integration].
* For a comprehensive code example demonstrating Retrieval Augmented Generation (RAG) with Spring AI and MongoDB, refer to this https://www.mongodb.com/developer/languages/java/retrieval-augmented-generation-spring-ai/[detailed tutorial].