kudu VS towhee

https://github.com/apache/kudu/blob/master/examples/quickstart/impala/README.adoc https://medium.com/@nifi.notes/building-an-effective-nifi-flow-replacetext-60a6016d378c https://community.cloudera.com/t5/Community-Articles/Running-DNS-and-Domain-Scanning-Tools-From-Apache-NiFi/ta-p/248484 https://community.cloudera.com/t5/Community-Articles/Using-Cloudera-Data-Science-Workbench-with-Apache-NiFi-and/ta-p/249469 https://community.cloudera.com/t5/Community-Articles/Scanning-Documents-into-Data-Lakes-via-Tesseract-MQTT-Python/ta-p/248492 https://community.cloudera.com/t5/Community-Articles/Adding-Stanford-CoreNLP-To-Big-Data-Pipelines-Apache-NiFi-1/ta-p/249378 https://community.cloudera.com/t5/Community-Articles/Using-Apache-NiFi-for-Speech-Processing-Speech-to-Text-with/ta-p/249242 https://community.cloudera.com/t5/Community-Articles/Ingesting-Flight-Data-ADS-B-USB-Receiver-with-Apache-NiFi-1/ta-p/247940 https://community.cloudera.com/t5/Community-Articles/Integrating-lucene-geo-gazetteer-For-Geo-Parsing-with-Apache/ta-p/247993 https://community.cloudera.com/t5/Community-Articles/Creating-WordClouds-From-DataFlows-with-Apache-NiFi-and/ta-p/246605 https://community.cloudera.com/t5/Community-Articles/NIFI-1-x-For-Automatic-Music-Playing-Pipelines/ta-p/247994 https://community.cloudera.com/t5/Community-Articles/Using-Apache-NiFi-with-Apache-MXNet-GluonCV-for-YOLO-3-Deep/ta-p/248979 https://community.cloudera.com/t5/Community-Articles/Tracking-Air-Quality-with-HDP-and-HDF-Part-1-Apache-NiFi/ta-p/248265 https://community.cloudera.com/t5/Community-Articles/Monitoring-Energy-Usage-Utilizing-Apache-NiFi-Python-Apache/ta-p/247525 https://community.cloudera.com/t5/Community-Articles/Using-Command-Line-Security-Tools-from-Apache-NiFi/ta-p/248158 https://community.cloudera.com/t5/Community-Articles/Apache-NiFi-Processor-for-Apache-MXNet-SSD-Single-Shot/ta-p/249240 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https://community.cloudera.com/t5/Community-Articles/Basic-Image-Processing-and-Linux-Utilities-As-Part-of-a-Big/ta-p/249121 https://community.cloudera.com/t5/Community-Articles/Hosting-and-Ingesting-Data-From-Web-Pages-Desktop-and-Mobile/ta-p/244575 https://community.cloudera.com/t5/Community-Articles/QADCDC-Our-how-to-ingest-some-database-tables-to-Hadoop-Very/ta-p/245229 https://community.cloudera.com/t5/Community-Articles/Tracking-Air-Quality-with-HDP-and-HDF-Part-2-Indoor-Air/ta-p/249471 https://community.cloudera.com/t5/Community-Articles/Streaming-Ingest-of-Google-Sheets-with-HDF-2-0/ta-p/247764 https://community.cloudera.com/t5/Community-Articles/Ingesting-Golden-Gate-Records-From-Apache-Kafka-and/ta-p/247557 https://community.cloudera.com/t5/Community-Articles/Data-Processing-Pipeline-Parsing-PDFs-and-Identifying-Names/ta-p/249105 https://community.cloudera.com/t5/Community-Articles/Using-A-TensorFlow-quot-Person-Blocker-quot-With-Apache-NiFi/ta-p/248141 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https://community.cloudera.com/t5/Community-Articles/Converting-PowerPoint-Presentations-into-French-from-English/ta-p/248974 https://community.cloudera.com/t5/Community-Articles/Posting-Images-with-Apache-NiFi-1-7-and-a-Custom-Processor/ta-p/249017 https://community.cloudera.com/t5/Community-Articles/Parsing-Any-Document-with-Apache-NiFi-1-5-with-Apache-Tika/ta-p/247672

Really interested in partial updates, but haven't found any information on how physically the merges/upserts happen. It would be great if a doc like https://github.com/apache/kudu/blob/master/docs/design-docs/tablet.md existed for apache doris.

As another commenter noted, Milvus is overkill and a "bit much" if you're learning/playing.

A good intro to the field with progression towards a full Milvus implementation could be starting with towhee[0] (which is also supported by Milvus).

towhee has an example to do exactly what you want with CLIP[1].

[0] - https://towhee.io/

[1] - https://github.com/towhee-io/examples/tree/main/image/text_i...

The description of this is kind of confusing but I think the easiest way to understand it is that it is a data processing pipeline of sorts. Take unstructured data and apply transformation and computation. A similar project to this is Towhee (https://github.com/towhee-io/towhee). This project tries to simplify unstructured data processing and provides pretrained models and pipelines from their hub.

Milvus also has incredible flexibility when it comes to choosing an indexing strategy, and we also have a library specifically meant to help vectorize a variety of data called Towhee (https://github.com/towhee-io/towhee).

Benchmarking the models with towhee is as simple as:

The project's homepage is https://github.com/towhee-io/towhee, and you can find more about towhee by going through the documents.

I made a tutorial for building an image search engine with python. The code example is as simple as 10 lines of code, using Towhee and Milvus To put images into the search engine:

Traditionally, I've done this through PyTorch by adding a hook, but this requires knowledge of the model itself (i.e. model arch and layer names). I found https://github.com/Hironsan/awesome-embedding-models but it didn't provide many CV-focused open-source projects. There's also https://github.com/towhee-io/towhee which is great but more targeted towards application development.

You can check the result from the tutorial.