Spatial Graph RAG for the Physical World

Introduction RAG (Retrieval Augmented Generation) has addressed one of AI’s biggest challenges for enterprise users: missing or hallucinating empirical business and real world context . Instead of generating answers from nothing, RAG retrieves relevant documents and feeds them to the model as context. It works. Ask an AI about your company’s Q4 revenue, and RAG […]

Streaming Spatial Data into Wherobots with Spark Structured Streaming

Real-time Spatial Pipelines Shouldn’t Be This Hard (But They Were) I’ve been doing geospatial work for over twenty years now. I’ve hand-rolled ETL pipelines, babysat cron jobs, and debugged more coordinate system mismatches than a person should reasonably endure in one lifetime. So when someone says “streaming spatial data,” my first reaction used to be […]

Raster Processing at Scale: The Out-of-Database Architecture Behind WherobotsDB

Learn how WherobotsDB's out-of-database architecture processes terabyte-scale satellite imagery, elevation models, and sensor data at scale, enabling zonal statistics, raster algebra, and planetary-scale AI inference without custom infrastructure.

Introducing Scalability for GeoPandas in Apache Sedona

Learn about the new GeoPandas API for Apache Sedona, now available in Wherobots. This new API allows GeoPandas developers to seamlessly scale their analysis beyond what a single compute instance can provide, unlocking insights from large-scale datasets. This integration combines the Pythonic GeoPandas API with the distributed processing power of Apache Sedona.

Introducing SedonaDB and SpatialBench for Apache Sedona

The spatial-first query engine and benchmarking framework for Apache Sedona

Raster Spatial Joins at Scale: Google Earth Engine and BigQuery vs Apache Sedona and Wherobots

Perform spatial joins at scale and zonal statistics with vector and raster data using Google Earth Engine & BigQuery vs. Apache Sedona & Wherobots. Compare performance, architecture, and geospatial for geospatial analysis.

Wherobots, Sedona, and GeoPandas are better together

Discover the synergy of Wherobots, Sedona, and GeoPandas for geospatial data computation. This article details their execution differences, showcases the Sedona GeoPandas API, and highlights their combined potential for efficient large-dataset analysis.