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COMPANY · ENTITY #346

Reciprocal Rank Fusion

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2

RESEARCH · 1 SOURCE · Apple Machine Learning Research

Glyph: multi-strategy agentic system for column description and sensitivity-ontology tagging

Glyph is a production system framing column-description generation and column-type annotation as cooperating stateful LLM agents. The Descriptor grounds descriptions in pipeline source code retrieved from enterprise GitHub via an active RAG loop, while the Tagger runs three parallel strategies (description-based, regex-based, and a fine-tuned MiniLM contrastive metadata encoder over a vector DB) and fuses ranked outputs with Reciprocal Rank Fusion; the paper reports large retrieval gains (NDCG@10 0.55→0.92, MAP@100 0.19→0.90) and evaluates end-to-end multi-label tagging with ablations and provenance-enabled, value-free, code-grounded design choices.

7.0

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