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# URL
- https://arxiv.org/abs/2407.01219
# Affiliations
- Xiaohua Wang, N/A
- Zhenghua Wang, N/A
- Xuan Gao, N/A
- Feiran Zhang, N/A
- Yixin Wu, N/A
- Zhibo Xu, N/A
- Tianyuan Shi, N/A
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It would be great if someone could give us some advices on this!
@haesleinhuepf
The ones I can think of at the moment are for the search phase:
Query pre-processing: use NLP to pre-process que…
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### Is your feature request related to a problem? Please describe.
Currently, AutoGen for .NET enables the development of conversational agents but lacks the ability to incorporate contextually rich,…
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embeddings.json is missing from # Adding context to your prompts - Retrieval Augmented Generation (RAG) data directory
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I’ve installed the Nidum app on my iPad Pro M4. It is great! But how can I access the RAG functions to load big documents?
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### Project Name
California Health Services Assistance Chatbot
### Description
Healthcare in the United States can be expensive and complex to navigate. This Retrieval-Augmented Generation (R…
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## Why RAG
Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of LLMs by incorporating a retrieval mechanism into the generative process. This approach allows the model…
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### Project Name
PhotoRAG
### Description
PhotoRAG is a fullstack Next.JS image search application that leverages Azure AI and infrastructure to implement a Retrieval-Augmented Generation (RAG) sys…
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https://www.microsoft.com/en-us/research/project/graphrag/
GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, net…
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**Is your feature request related to a problem? Please describe.**
Currently we only support `retrieve_online_documents`. We should add a way to allow for vector search for historical retrieval so us…