rag-backend/src/RAG.Api/Endpoints/Chat/GetConversationDetailEndpoint.cs
向宁 67b030c3c5 feat: add AI chat, RAG Q&A, knowledge base, embeddings, document processing
- 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
2026-05-20 20:28:15 +08:00

24 lines
680 B
C#

using FastEndpoints;
using MediatR;
using RAG.Application.Chat.DTOs;
using RAG.Application.Chat.Queries;
namespace RAG.Api.Endpoints.Chat;
public class GetConversationDetailEndpoint(IMediator mediator) : Endpoint<GetConversationDetailRequest, ConversationDetailDto>
{
public override void Configure()
{
Get("/chat/conversations/{Id}");
AllowAnonymous();
}
public override async Task HandleAsync(GetConversationDetailRequest req, CancellationToken ct)
{
var result = await mediator.Send(new GetConversationDetailQuery(req.Id), ct);
await Send.OkAsync(result, ct);
}
}
public record GetConversationDetailRequest(Guid Id);