Why Most RAGs Stay POCs — How to Take Your Data Pipelines to Production.
Author(s): Jeremy Arancio Originally published on Towards AI. A walkthrough to architect scalable and maintainable document indexing pipelines for RAG systems with Databricks Asset Bundles Since the release of ChatGPT, companies have discovered that if you provide entreprise knowledge into prompts, LLMs …
Deploy an in-house Vision Language Model to parse millions of documents: say goodbye to Gemini and OpenAI.
Author(s): Jeremy Arancio Originally published on Towards AI. TL;DR: We deployed an AI feature to extract structured data from documents (e.g., invoices, reports) using Qwen-2.5-VL and vLLM — no training nor data collection needed. The solution is containerized with Docker and uv, …