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Implements a complete AI backend with the following features: - OpenAI-compatible API integration for embeddings and completions - RAG-based semantic search using pgvector - Background job processing for embedding generation - AI controller with streaming support for /api/ai/ask and /api/ai/generate - Status endpoint for monitoring embedding coverage and queue stats Technical implementation: - New AI module in core/ai with controller, service, and DTOs - Queue processor for async embedding generation - Database migration for page_embeddings table with vector support - Proper TypeScript interfaces for responses and configuration - Environment service integration for configuration management The implementation follows forkmost conventions with pragmatic TypeScript usage and extensive logging for observability.
Owner
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FYI will take a bit due to the size and holiday and also because I need to test it, which will be a bit of work |
Owner
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Hey, sorry for the long delay. I will likely review this in mid February. Sorry for this message. This will also be the last PR I will (hopefully) merge. After that, I will merge the changes from upstream and then archive it so people can fork it, if someone plans to continue it. I already looked a bit trough the code and saw some things like Main transparency: Didn't had the motivation to setup a local llm to test this yet. |
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Experimental AI integration for better semantic search and AI agent.
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