Comments (2)
Just, so I understand correctly, the issue is that you are setting the number of layers to 3, but the tree has only one layer formed. How many tokens is the text you are building the tree with?
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The text is sample.txt, the text given in your repository.
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Related Issues (20)
- NarrativeQA metrics HOT 1
- TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k. HOT 4
- Question about experiment HOT 3
- When the text gets longer, the embedding API does not seem to work. HOT 5
- Missing implied functionality `add to existing` HOT 3
- Support for Azure OpenAi HOT 2
- Return Citation HOT 2
- Constructing Layer Issue HOT 3
- Is it not possible to use in AZURE? HOT 1
- Adding new Document to the existing RAPTOR setup
- UMAP n_neighbors must be greater than 1 HOT 11
- Inquiring about Vector DB implementation HOT 2
- multi doc HOT 3
- There seems to be a bug in the demo code.
- Evaluation code HOT 2
- Support for seeing Created Tree ? HOT 4
- **Outdated Dependencies in requirements.txt Causing Conflicts** HOT 1
- Bug in chunk splitting HOT 1
- TypeError: expected string or buffer HOT 3
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