NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec

POC with an ANN engine integrated with Transformers4Rec within Triton

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area/inference scalability
Dominant language
Python
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

POC with an ANN engine (Milvus / FAISS) integrated with Transformers4Rec within Triton (based on Karl example)

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the referenced Karl example and reviewing how Transformers4Rec is intended to run within Triton. Compare the Milvus and FAISS options, then define the POC's integration boundary and validation criteria; done means one ANN engine works with Transformers4Rec within Triton.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
backend-api-design, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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