AI & ML Research 24 Hours

Last updated: August 23, 2026, 2:35 AM ET

AI & ML Research

Moving LangGraph agents from demo to production requires a proper backend, with the author detailing how they built persistence, authentication, and booking-data handling around the agent framework. The piece emphasizes turning a prototype into something that can reliably manage real-world state.

For multi-document RAG on unrelated PDFs, a novel approach treats the folder as one long document with a nested outline. Since no shared fields exist, retrieval routes down two levels: one summary line per file plus each file's own table of contents, eliminating the need for a unified index.

On fine-tuning SigLip, LoRA fine-tuning resolved an under-labeling problem in real-estate image classification. However, the author cautions that the decision hinges on three specific questions, noting that fine-tuning isn't always the optimal path compared to alternatives like prompt engineering or larger models.