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It would be great if this system used a local database to permit the storage, retrieval and use of content for a local knowledge base.
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**backend w/ rag**
I already installed requirement
```
pip install -r ~/intel-extension-for-transformers/intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/requirements.txt
``…
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/kind feature
Ref https://arxiv.org/pdf/2404.01037.pdf
> Auto-RAG: The idea of automatically optimizing RAG systems, akin to Auto-ML’s approach
in traditional machine learning, presents a signi…
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I am following the steps provided in the example (https://github.com/pathwaycom/llm-app/tree/main/examples/pipelines/private-rag)
When I execute the curl command to test it, I get this error:
`
`…
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We are running into an issue where embeddings token windows are being exceeded (>8192).
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Edit after changing, snippets.
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A notebook for experiment, including:
* [x] comparision with langchain as baseline.
* [ ] ablation test for different retrivers, spliter paramters.
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# 什么是检索增强生成?
提纲:
1. 为什么需要检索增强生成?
2. 检索增强生成有什么作用?
3. 检索增强有哪些组成部分?
## 为什么需要检索增强生成?
局限:
- 不能更新知识库
- 模型有幻觉
## 检索增强生成有什么作用?
OpenBook vs CloseBook
作用:
1. 更新或补充模型知识库
2. 限定回答的知识范围
…
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Add a flag for rag which will change the prompt to tell the llm that the input it is receiving is a search result that it should use to enhance its answer.