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At the moment we compactly store a compressed sparse row graph - we do not store any global graph, or node, or edge properties with it. The thinking was we want to get an MVP out asap and we don't kno…
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### Bug Description
**getting the below deprecation message**
Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.FeatureDeprecationWarning} {catego…
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Now we have shown that LLettuce can work for drug concepts, we need to expand to non-drug concepts.
This could be as simple as removing references to "domain = 'Drug'" from queries. However, the OMOP…
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### Is there an existing issue for this?
- [ ] I have searched the existing issues
- [ ] I have checked [#657](https://github.com/microsoft/graphrag/issues/657) to validate if my issue is covered by …
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https://aclanthology.org/N16-1167/
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Hi :) I have an issue with how to calculate the relevance scores w.r.t two (or more) output values for lxt.model.llama.
Initially, following your demo in llama, I write the following code.
```py…
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Graph structure to combine rawdata.json to embeddings.npy
(wiki -> rawdata1.json -> chunksize -> embeddingtype -> embeddings.npy)
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since we can `train` then get the embeddings efficiently, why not also do `testing` in the pipeline?
for example:
```python
import pysmore.utils.eval as Evaluator
import pysmore.models.mf as MF
…
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How much better is HippoRAG than graphrag ?
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Hi guys,
I've been trying to package the model and deploy with Tensorflow Serving for a while following examples from #316 #615. Thanks to all of you there (@xolott, @Cecilwang, @dingqs447, @viveka…