67b030c3c5
- AI chat with SSE streaming (Microsoft Agent Framework + Qwen) - RAG Q&A with hybrid retrieval (vector + keyword RRF fusion) - Knowledge base CRUD with semantic text chunking - Embedding generation via Azure.AI.OpenAI / LM Studio - Document upload with chunked upload support - Redis caching for chat messages - Chunk/vector preview endpoints - gRPC auth service improvements - Removed demo menus, cleaned up seed data
14 lines
501 B
C#
14 lines
501 B
C#
using FluentValidation;
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namespace RAG.Application.KnowledgeBase.Validators;
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public class CreateKnowledgeBaseCommandValidator : AbstractValidator<Commands.CreateKnowledgeBaseCommand>
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{
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public CreateKnowledgeBaseCommandValidator()
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{
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RuleFor(x => x.Name).NotEmpty().WithMessage("知识库名称不能为空")
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.MaximumLength(200).WithMessage("名称不能超过200个字符");
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RuleFor(x => x.Description).MaximumLength(1000).When(x => x.Description != null);
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}
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}
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