Comments (3)
Hey! We build one tree per document.
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It's more like a Directed Acyclic Graph (DAG) when compared to a tree.
from raptor.
Hey! We build one tree per document.
thx a lot
from raptor.
Related Issues (20)
- Question: How to get the context used when calling `RA.answer_question`? HOT 2
- Want to use RAPTOR for legal research. How to add legislation citation? HOT 2
- Clarification about the experiment setting in the paper HOT 2
- NarrativeQA metrics
- 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 multiple texts 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
- num_layers acts like max_num_layers HOT 2
- UMAP n_neighbors must be greater than 1 HOT 11
- Inquiring about Vector DB implementation HOT 2
- RAG seems lazy and don't understand the sample HOT 1
- Sorry! We've encountered an issue with repetitive patterns in your prompt. Please try again with a different prompt HOT 10
- `RA.retrieve`: AttributeError: 'NoneType' object has no attribute 'encode'" HOT 7
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