doc typos fix
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@@ -344,27 +344,26 @@ ChatResponse response = ChatClient.builder(chatModel)
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Is this example, the `SearchRequest.defaults()` will perform a similarity search over all documents in the Vector Database.
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To restrict the types of documents that are searched, the `SearchRequest` takes a SQL like filter expression that is portable across all `VectorStores`.
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==== Rutntime filter expressions
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==== Dynamic Filter Expressions
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You can update the default `SearchRequest` filter expression at run time using the `FILTER_EXRESSION` advisor context parameter:
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Update the `SearchRequest` filter expression at runtime using the `FILTER_EXPRESSION` advisor context parameter:
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[source,java]
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----
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var chatClient = ChatClient.builder(chatModel)
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.defaultSystem("Default system text.")
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.defaultAdvisors(new QuestionAnswerAdvisor(vectorStore,
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SearchRequest.defaults().withSimilarityThreshold(0.99d).withTopK(6)))
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ChatClient chatClient = ChatClient.builder(chatModel)
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.defaultAdvisors(new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()))
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.build();
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// and at runtime use the `FILTER_EXRESSION` advisor context parameter to update the filter expression
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var content = chatClient.prompt()
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// Update filter expression at runtime
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String content = chatClient.prompt()
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.user("Please answer my question XYZ")
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.advisors(a -> a.param(QuestionAnswerAdvisor.FILTER_EXRESSION, "type == 'Spring'"))
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.advisors(a -> a.param(QuestionAnswerAdvisor.FILTER_EXPRESSION, "type == 'Spring'"))
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.call()
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.content();
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----
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The `FILTER_EXPRESSION` parameter allows you to dynamically filter the search results based on the provided expression.
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=== Chat Memory
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The interface `ChatMemory` represents a storage for chat conversation history. It provides methods to add messages to a
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