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### Feature Description
Graph RAG is a very powerful weapon, but currently, "Retrieve in embedding mode" is not supported in the latest version, looking forward to adding this feature in the next ve…
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### Feature Description
Implement KnowledgeGraph metadata extractors that can run in a pipeline and add the extracted data as node metadata.
Also add code in KnowledgeGraph classed to extract the …
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[x] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.
**Describe the bug**
I have a code using the package ragas that works in a noteboo…
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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### W…
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### Feature description
We currently abstract LLMs through `ragna.core.Assistant`. While this allows users to implement arbitrary assistants, it makes it unnecessarily hard to use LLMs for other task…
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Pipeline for services creation runs successfully, however I'm missing index in cognitive search and authentication in the app service. anyone faced this issue?
### This issue is for a: (mark wi…
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### 🚀 The feature
HYDE is one of the well known retrieval strategies used for retrieval. More details about HYDE can be found in [this paper](https://arxiv.org/abs/2212.10496).
We need to implemen…
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get_qa_with_reference is always None where as get_retrieved_documents works fine.
Always get No spans found.
File "C:\anaconda3\Lib\site-packages\phoenix\evals\classify.py", line 354, …
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### Bug Description
I was following the cookbook (https://github.com/stanfordnlp/dspy/blob/main/examples/llamaindex/dspy_llamaindex_rag.ipynb) but changed the LLM and embeddings model to non-OpenAI m…
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### Feature request
I am in the process of developing an open-source RAG pipeline, utilizing Olmo 7b for the task at hand. However, I've encountered some GPU limitations, prompting me to implement Qu…