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Real-Time Multimodal Pipelines for GenAI

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update Simplify the process of inserting data through S3 integration, facilitating smoother data flow and storage options.proposed code: ``` import requests url = "http://localhost:8000/storage/insert-one" payload = {'key1': 'value1', 'key2': 'value2'}...

Storage

There's a couple components here: * `inference.containers` [build.sh](http://build.sh) -> create the containers and/or deploy to a package registry * `docker-compose up` should create all the services and run the build...

Enable users to create a new connection which adds to the DB Pre-Requisites: * test to see if the connection is valid * check if connection exists already * engines...

Backend

heres a starting point task_id: * Enums with our own mappings. * versions with the rules/logic ``` pipeline: tasks: - task: "extract" container: "docker.io/mixpeek/data-extractor:latest" parameters: field: - "document_url" strategy: -...

Pipelines

Users may need to add an embedding or extraction to a single document

Support dot notation in pipeline field specifications, enhancing the flexibility in defining source and destination paths.

API Container