rahil-c commented on code in PR #14218: URL: https://github.com/apache/hudi/pull/14218#discussion_r2886033163
########## rfc/rfc-102/rfc-102.md: ########## @@ -0,0 +1,231 @@ +<!-- +Licensed to the Apache Software Foundation (ASF) under one or more +contributor license agreements. See the NOTICE file distributed with +this work for additional information regarding copyright ownership. +The ASF licenses this file to You under the Apache License, Version 2.0 +(the "License"); you may not use this file except in compliance with +the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +--> + +# RFC-102: Vector Search in Apache Hudi + +## Proposers + +- @rahil-c + +## Approvers + +- @suryaprasanna +- @vinothchandar +- @balaji-varadarajan-ai +- @yihua + +## Abstract + +This RFC proposes adding the ability to perform a native **vector similarity search** on Hudi tables. + +Building on RFC-100 (unstructured data storage in Hudi), Hudi tables would contain unstructured content (e.g., images, video, documents) as well as the related *embeddings* for those contents. + +The next natural requirement for AI/ML workloads on Hudi is to **search these embeddings efficiently**: + +- Given a query embedding (e.g., derived from an image, text, or audio snippet), +- Find the *k* most similar rows in a Hudi table, +- Return those rows along with a similarity score. + +This RFC focuses on: Review Comment: RFC 99 https://github.com/apache/hudi/pull/18184 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
