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In order to configure a Crew with `memory=True` without a OpenAI API Key, one needs to configure an Embedder provider. Currently, AWS (Amazon Bedrock and Amazon SageMaker) are not supported providers.…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hi, I have a (typical) use-case where vector index mostly works, but there are tim…
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A set of S7 demonstators either as python scripts or Jupyter notebooks will help communication. Example of simple demonstrators:
data documentation with entity-mapping
data retrieval with entity-m…
quaat updated
2 months ago
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### Mode of the Talk
In Person
### Abstract of the Talk
If we need to have a Separate Architectural Topic can be discussed here..pl. share your views..
It is more of an information capture as of…
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Hey,
I'm new to NanoLLM, so please forgive me if my question seems basic. I couldn't find any discussion group for NanoLLM so I am posting my question here. In the NanoLLM documentation, I have see…
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### System Info
I'm trying to do the tutorials and there are many things that aren't correct. One that is a blocker preventing me from learning Retrieval is the fact that it seems like all document l…
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Hi, I was wondering whether is would make sence to support models which, in addition to dense vectors, also support sparse and colbert. For example, [BGE-M3](https://huggingface.co/BAAI/bge-m3) works …
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In a recommendation system with retrieval and ranking stages, the retrieval model typically learns only from positive examples in the training dataset. Consequently, it fails to learn which items user…
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Referencias:
- [ReLeLa](https://relela.com/)
- [BETO: Spanish BERT](https://github.com/dccuchile/beto)
- Los modelos de [Jorge Ortiz Fuentes](https://huggingface.co/jorgeortizfuentes) como [Tulio…
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Hi! It seems I'm not able to find a REST API endpoint for generating embeddings for an image, in other words, providing functionality for using models like CLIP which can take both text and images as …