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This repository has been archived by the owner on Feb 22, 2020. It is now read-only.
Hi,
This is a VERY GREAT looking project. Thank you for your effort.
But from the documentation is not clear what kind of uses are possible with this project.
For example, in a text search, I would imagine that gnes would enable me to find similar documents. Is that right?
yeah some more examples with explanation of what is happening (how data is loaded and how model is loaded , how the path for model is specified )could be even more useful for beginners like me . Hope you take this asa a request
Thanks
@bratao@Ravikiran2611 thanks again ❤️ for trying GNES and giving feedback at the early stage. I'd like to introduce you the new GNES Flow API (available since v0.0.46), enables a pythonic and intuitive way for building workflow in GNES. As an example, an indexing workflow can be simply defined as:
flow= (Flow(check_version=False, ctrl_with_ipc=True)
.add_preprocessor(name='prep', yaml_path='yaml/prep.yml', replicas=3)
.add_encoder(yaml_path='yaml/incep.yml', replicas=6)
.add_indexer(name='vec_idx', yaml_path='yaml/vec.yml')
.add_indexer(name='doc_idx', yaml_path='yaml/doc.yml', recv_from='prep')
.add_router(name='sync', yaml_path='BaseReduceRouter', num_part=2, recv_from=['vec_idx', 'doc_idx']))
# then use it for indexingwithflow(backend='process') asfl:
fl.index(bytes_gen=read_flowers(), batch_size=64)
🔰 You can find some resources here to help you getting started quickly:
Hi,
This is a VERY GREAT looking project. Thank you for your effort.
But from the documentation is not clear what kind of uses are possible with this project.
For example, in a text search, I would imagine that gnes would enable me to find similar documents. Is that right?
And how it compared with Vespa.ai (https://github.com/vespa-engine) ?
Some examples of what is possible with Gnes would be nice!
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