TXT2KG w/ hotpot_qa.pyGraph Retrieval Example and tech_qa.py HybridRAG e2e workflow example
#9992
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…eometric into rebase-txt2kg
for more information, see https://pre-commit.ci
…eometric into rebase-txt2kg
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
…eometric into rebase-txt2kg
for more information, see https://pre-commit.ci
…eometric into rebase-txt2kg
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
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Codecov ReportAttention: Patch coverage is
❌ Your patch check has failed because the patch coverage (19.44%) is below the target coverage (80.00%). You can increase the patch coverage or adjust the target coverage. Additional details and impacted files@@ Coverage Diff @@
## master #9992 +/- ##
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- Coverage 86.83% 85.68% -1.15%
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Files 493 496 +3
Lines 33084 33396 +312
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- Hits 28729 28616 -113
- Misses 4355 4780 +425 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Successor to [9666](#9666), this: - ~~updates the documentation to show how to utilize GNN RAG and~~(now handled by separate branch) - updates WebQSP to help serve as a toy example for LargeGraphIndexer. - fixes issues with LargeGraphIndexer running out of memory by introducing a default batch size and multithreading ability ~~currently blocked by a bug that causes the g_retriever.py example to get 1% less accuracy.~~ Bug is due to a fp32 precision issue related to batch kernels in Huggingface's transformers. Performance difference is too inconsequential to require a fix. may also be the cause of low retrieval precision in #9846 --------- Co-authored-by: Zack Aristei <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Zachary Aristei <[email protected]> Co-authored-by: Rishi Puri <[email protected]> Co-authored-by: Rishi Puri <[email protected]>
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TXT2kg docs before their merged into main:
https://pytorch-geometric--9992.org.readthedocs.build/en/9992/modules/nn.html?highlight=txt2kg#torch_geometric.nn.nlp.TXT2KG
example of how to use this in nvidia docker container:
git config --global credential.helper store; huggingface-cli login --token <insert_token>; cd /opt/pyg; pip uninstall -y torch-geometric; rm -rf pytorch_geometric; git clone -b latest-txt2kg https://github.com/pyg-team/pytorch_geometric.git; cd /opt/pyg/pytorch_geometric; pip install .; pip install openai