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FastAPI

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3

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Apple engineers present scaling framework-agnostic AI agent infrastructure with Ray at QCon AI

At QCon AI, Apple engineers Deepak Mohanakumar Chandramouli and Bhumik Vinodkumar Thakkar described moving AI agents from local FastAPI prototypes to resilient production deployments on Kubernetes using Ray, covering RayCluster topology, stateful memory handling, autoscaling for dynamic traffic, control‑plane designs, multi‑region setups, safety guardrails, and an LLM‑as‑a‑judge evaluation pipeline. They illustrated these operational patterns with a trip‑planner agent example and shared production learnings and observability considerations.

4.0

RESEARCH · 1 SOURCE · arXiv cs.AI

CourseChat: on‑premises multi-course RAG tutor for business education (arXiv:2610.02510v1)

The authors present CourseChat, an on-premises, multi-course retrieval-augmented generation (RAG) tutor deployed behind a campus web gateway and integrated for use with Moodle; it runs twin edge hosts with FastAPI, a local vector database, and an LLM served via Ollama across six isolated course CRNs. The paper reports two model bake-offs, a source-fidelity comparison, conversation and quiz audits, finds that larger models failed classroom speed constraints while 12B and 7B passed and a mixture-of-experts introduced new errors, and retains an 8B production model pending demonstrated overall improvement; the study does not evaluate learning gains or public-gateway acceptance.

6.0

RESEARCH · 1 SOURCE · arXiv cs.AI

Solar Intelligence — a hybrid retrieval-augmented platform for solar analytics, evidence-grounded QA, and forecasting

This arXiv cs.AI paper introduces Solar Intelligence, a hybrid retrieval-augmented system that unifies structured solar analytics, evidence-grounded scientific question answering, and machine-learning forecasting. The platform integrates daily NASA POWER and Biosphere 2 sensor data with a curated research corpus, uses DuckDB for structured queries, fuses BM25 and ChromaDB dense embeddings via Reciprocal Rank Fusion for retrieval with grounding by llama3.2:3b, produces daily irradiance/temperature/wind forecasts with XGBoost, and is exposed via FastAPI, Streamlit, and an MCP server for use as an app, API, or agent tool.

5.0