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@@ -365,7 +367,16 @@ Import arcadia RAG chatflow into flowise. Select **Add New**, click **Settings i
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A copy of the chatflow located on the jumphost **Documents** directory. Select the chatflow json file.
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.. image:: ./_static/class3-17.png
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.. Note::
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Ensure you choose the right json file according to the environment use cases - CPU or GPUaaS.
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CPU - "*arcadia-rag Chatflow.json*"
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GPUaaS - "*arcadia-rag-gpuaas Chatflow.json*"
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.. image:: ./_static/class3-17-1.png
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Save the chatflow (arcadia-rag)
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@@ -376,6 +387,16 @@ Save the chatflow (arcadia-rag)
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.. image:: ./_static/class3-18-1.png
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.. attention::
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**For GPUaaS ONLY**
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Ensure you have a valid GPUaaS API key (if your lab based on GPU) and create as following:-
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.. image:: ./_static/class3-18-2.png
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.. image:: ./_static/class3-18-3.png
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To successfully build the full langchain pipeline / chatflow, you need to upload organization context information into the RAG pipeline. Arcadia context information file located in the **Documents** directory. Under **Text File** node, Click **Upload File**
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@@ -536,6 +557,35 @@ Here are some of the node/chain used.
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|| storage mechanism for storing/retrieving conversations. |
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