docs/how_to/indexing/

[giscus[bot]]

docs/how_to/indexing/

Here, we will look at a basic indexing workflow using the LangChain indexing API.

https://python.langchain.com/docs/how_to/indexing/

[vshanbha]

Thank you for this. I tried getting this to work with a local FAISS store.
I am able to use this API to upload documents and run similarity searches against the store.

However this document does not cover any definitive way to delete a single Document from the Vector Store. I can't find any links in the langchain pages on deleting a document that has been added to the Vector store using the indexing method specified here.

The main challenge is that when we retrieve documents from the Vector store they do not have any Ids.
I already looked at docs for the [Index] ( https://api.python.langchain.com/en/latest/core/indexing/langchain_core.indexing.api.index.html
and [VectorStore] (https://api.python.langchain.com/en/latest/core/vectorstores/langchain_core.vectorstores.base.VectorStore.html#langchain_core.vectorstores.base.VectorStore)

[DeezNutz6942O]

Watch https://www.youtube.com/watch?app=desktop&v=6XG4mfUVTe4

[vshanbha]

Thank you @DeezNutz6942O . This is the same thing as the documentation page now in a video and your explanation. I appreciate you taking the time to create the video. However it still does not answer how to remove a single document from the vector store.
I did figure out a hacky solution and have it available in a project https://github.com/vshanbha/RAGPoC.
I do not like my solution because it involves updating the index in "Full" mode by only sending the documents that I want to keep.
For the relevant stuff look at (https://github.com/vshanbha/RAGPoC/blob/main/persistence/vector_db.py) there is a method called delete_document.
This solution is acceptable for a proof of concept but it is not going to scale if I have a Vector DB with 100s of documents.

I am probably missing something super obvious. Happy to learn.