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Update concepts.adoc

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I corrected a typo.
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El Mahdi OUKHAMOU
2024-06-23 12:50:15 +02:00
committed by Christian Tzolov
parent 20e4b5609a
commit 865f62a04a
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spring-ai-docs/src/main/antora/modules/ROOT/pages/concepts.adoc
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@@ -164,7 +164,7 @@ This is the reason to use a vector database. It is very good at finding similar
image::spring-ai-rag.jpg[Spring AI RAG, width=1000, align="center"]
* The xref::api/etl-pipeline.adoc[ETL pipeline] provides further information about orchestrating the flow of extracting data from the data sources and stor it in a structured vector store, ensuring data is in the optimal format for retrieval by the AI model.
* The xref::api/etl-pipeline.adoc[ETL pipeline] provides further information about orchestrating the flow of extracting data from the data sources and store it in a structured vector store, ensuring data is in the optimal format for retrieval by the AI model.
* The xref::api/chatclient.adoc#_retrieval_augmented_generation[ChatClient - RAG] explains how to use the `QuestionAnswerAdvisor` advisor to enable the RAG capability to your application.
[[concept-fc]]