Genai - how to do embeddings and vector storage in uipath

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Hello, I’m using langchain-openAI RAG to do embeddings and vector storage, how can I incorporate this in UiPath workflow and send the final prompts through genai activities? my company mandate the prompts be sent through UiPath, not langchain.

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@Lynn_Song

I dont think there is a readily available integration for own langchain and rag sequences to be included into gen ai activities

Rather with new addtion now rag can be ingested via gen ai activities and there are few available models which can be used

A description of the "Index and Ingest (Public Preview)" feature which indexes and ingests data from sources to create embeddings for Retrieval Augmented Generation (RAG) within UiPath GenAI Activities. (Captioned by AI)
A description of the "Index and Ingest (Public Preview)" feature which indexes and ingests data from sources to create embeddings for Retrieval Augmented Generation (RAG) within UiPath GenAI Activities. (Captioned by AI)828×297 48.6 KB

Cheers

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wow thanks so much for the update!!

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