https://docs.relational.ai/build/guides/reasoning/prescriptive/backends/highs/
Use HiGHS | RelationalAI Docs
Use HiGHS for LP, MILP, and convex QP prescriptive problems.
use highsrelationalai docs
https://docs.relational.ai/build/templates/disease-outbreak-prevention/?v=v1
Disease Outbreak Prevention | RelationalAI Docs
Use weighted degree centrality to identify the highest-risk healthcare facilities in a public health network, considering both connection volume and intensity,...
disease outbreak preventionrelationalai docs
https://docs.relational.ai/build/guides/configuration/reasoners/
Configure reasoners | RelationalAI Docs
Configure PyRel reasoner selection, logic reasoner settings, and polling defaults.
configure reasonersrelationalai docs
https://docs.relational.ai/build/templates/simple-start
Simple Start | RelationalAI Docs
A minimal notebook to connect to Snowflake, model a small graph, and compute betweenness centrality with RelationalAI.
simple startrelationalai docs
https://docs.relational.ai/build/setup
Set Up Your Environment | RelationalAI Docs
Follow these step-by-step guides to install the relationalai Python package and set up a development environment.
set up your environmentrelationalai docs
https://docs.relational.ai/build/guides/modeling/declare-concepts/
Declare concepts | RelationalAI Docs
Declare PyRel concepts with identity and inheritance for semantic models.
declare conceptsrelationalai docs
https://docs.relational.ai/build/guides/configuration/results-access/
Configure results access | RelationalAI Docs
Choose how PyRel returns query results to Python and which download URLs it uses.
configure results accessrelationalai docs
https://docs.relational.ai/build/guides/reasoning/graph/create-a-graph/
Create a graph | RelationalAI Docs
Learn how to create a graph from the concepts and relationships in your semantic model using the `Graph` class in PyRel.
create a graphrelationalai docs
https://docs.relational.ai/build/guides/modeling/derive-facts-with-logic/
Derive facts with logic | RelationalAI Docs
Derive concept membership (entities), properties, and relationships with conditional definitions.
derive facts with logicrelationalai docs
https://docs.relational.ai/build/guides/reasoning/prescriptive/backends/
Choose a backend | RelationalAI Docs
Choose between HiGHS, Gurobi, Ipopt, and MiniZinc based on your prescriptive model type.
choose arelationalai docsbackend
https://docs.relational.ai/release-notes/native-app/2026.4.27-2ba1778
What's New in Version 2026.4.27-2ba1778 | RelationalAI Docs
new inrelationalai docsversion
https://docs.relational.ai/build/agents/skills
Install skill files | RelationalAI Docs
Use RelationalAI's agent skills to enhance your coding agent's capabilities, including understanding and interacting with RAI models, executing queries,...
install skill filesrelationalai docs
https://docs.relational.ai/release-notes/
Release Notes | RelationalAI Docs
release notesrelationalai docs
https://docs.relational.ai/build
Build With RelationalAI | RelationalAI Docs
Learn how to build intelligent applications with RelationalAI.
build withrelationalai docs
https://docs.relational.ai/build/templates/disease-outbreak-prevention
Disease Outbreak Prevention | RelationalAI Docs
Use weighted degree centrality to identify the highest-risk healthcare facilities in a public health network, considering both connection volume and intensity,...
disease outbreak preventionrelationalai docs
https://docs.relational.ai/release-notes/python/1.1.1
What's New in Version 1.1.1 | RelationalAI Docs
new inrelationalai docsversion