Embedding Documents into Vector Databases: Need Help?

·Sep 10, 2025 04:21 AM·

I am new to the platform and am trying to embed my documents into a vector database. I don't see the integrations for any vector store like Pinecone or Weaviate. Am I missing something?

2 comments

· Sorted by Oldest

Grant M.
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Hi Priyanka, right now, Lindy doesn’t support external vector DB integrations like Pinecone or Weaviate. If your goal is to enable semantic retrieval over your docs, Lindy already has built-in storage and retrieval mechanisms when you upload documents, so you don’t need to set up Pinecone/Weaviate separately. If you were hoping to connect to an existing external DB, that’s not supported today, but happy to log it as feedback.
Priyanka R.
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Thank you Grant. Could you please point me to any documentation that talks about semantic retrieval on Lindy so that I can refer to it and build my agent? For my information, what storage is this? Knowledge graph?

Grant M.
·
·
Hi Priyanka, right now, Lindy doesn’t support external vector DB integrations like Pinecone or Weaviate. If your goal is to enable semantic retrieval over your docs, Lindy already has built-in storage and retrieval mechanisms when you upload documents, so you don’t need to set up Pinecone/Weaviate separately. If you were hoping to connect to an existing external DB, that’s not supported today, but happy to log it as feedback.
Priyanka R.
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·
Thank you Grant. Could you please point me to any documentation that talks about semantic retrieval on Lindy so that I can refer to it and build my agent? For my information, what storage is this? Knowledge graph?