Ce projet a été réalisé dans le cadre du d'un apprentissage.

An AI-powered chatbot that converts natural language questions into SQL queries for the Northwind database. Built with Flask, Groq API (Llama 3.3 70B), and a FAISS-based RAG pipeline for accurate, ...

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Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a given condition. RAG can ...

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...