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How do I fill the memory for an LLMChain?
I get how to connect the LLM and Prompt, but are there components memory?
we are currently working on memories, we are just solving some bugs before adding them as a component
We are also waiting for a PR on LangChain to finish it. https://github.com/hwchase17/langchain/pull/1905
Do you guys know if memory is supposed to cover every case for embeddings? I'm already using embeddings on LangChain itself.
Okay @anovazzi1 / @ibiscp , thank you for the update! Would you please let me know if this is resolved?
I love what you're doing with the interface, it felt surprisingly intuitive. I love the drag-and-drop sidebar and the typed slots.
@hunter-meloche each memory have a certain requirement so we'll need to test as many as we can but the goal is to make it as close as possible to langchain.
@ogabrielluiz I'm looking forward to it and I appreciate the work you all are doing. I'll take a look at the code and see if I'm able to to help.
Also, if you're interested in productizing Langflow, I've worked on designs for similar applications and would love to talk 😄 I'm very much on the end-user programming train
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Hey, @classicrob
Hit me up on twitter or LinkedIn. Sorry for the delayed response. Too much going on.
Any idea on Invalid session id i am getting a error when i am creating a simple flow using pypdfloader
Hey, this might not be related to this issue. Please, open a new one or post your question on our discord server.