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Curated by: Ontologize (73 videos)
Learn how to build a retrieval-augmented generation (RAG) workflow using Pipeline Builder, Ontology, and AIP Logic. In this session, we cover dataset preparation, embedding generation, Ontology creation, and semantic search to automatically match entities — in this case, “monsters” — to their best-fit “haunted houses.” You can access the datasources used here: hauntology_houses.csv: https://ontologize-portal-public-resources.s3.us-east-2.amazonaws.com/public_datasets/hauntology_houses.csv hauntology_monsters_all.csv: https://ontologize-portal-public-resources.s3.us-east-2.amazonaws.com/public_datasets/hauntology_monsters_all.csv *About Ontologize* We build teams of Palantir experts. Ontologize is a team of former Palantir engineers who are passionate about teaching. We are an official Palantir Partner focused on helping Palantir's customers and partners scale their Foundry & AIP deployments. Get in touch if your team wants to deploy use cases faster and scale Foundry across your organization: https://ontologize.com/contact. #aip #foundry #palantir