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Portkey's Retrieval-Augmented Generation Capabilities and Implementation

Hello all,
I wanted to check if Portkey supports Retrieval-Augmented Generation (RAG) and whether it provides options to add documents or links as source material for retrieval. If these capabilities are available, could you share details on how to implement them and any relevant documentation or best practices?
S
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Hey @Glen_Gold_Cloud_Specialist Portkey does not do RAG directly but you can use any libraries like llamaindex to connect with portkey and perform RAG on your document.

I created a very simple guide on how you can get started with building a RAG app using portkey and llamaindex in 10 mins: https://portkey.ai/blog/rag-app-using-portkey-and-mongodb-in-10-mins/

Let me know if this helps!
you can use any vector database like Qdrant, Milvus using Portkey's API to interact with your embeddings.

here are the docs for the same
Qdrant: https://portkey.ai/docs/integrations/vector-databases/qdrant
Milvus: https://portkey.ai/docs/integrations/vector-databases/milvus
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