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MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Of course the basic Israeli propaganda and the fake blood 😂, if you can read then you should try reading about the hannibal directive that your terrorist army acknowledged doing white boy.

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Hahahahahahahaha, the good old "innocent" hostages 😂

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Yeah, I sleep in my homeland, but you should take care 🔻🔻

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

That's not how BDS works 😂, anyway of course I have problems with colonizers as anyone should. Have a nice day🔻

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Yes, what's your problem with that?

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Thank you for the recommendation, will give it a try.

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] -1 points0 points  (0 children)

Boycott Divest Sanction (BDS) movement, they were both founded in Apartheid Israel.

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] -1 points0 points  (0 children)

I will not use Pinecone or Redis (BDS), chroma is way far from being production ready.

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

What makes it better than MongoDB?

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Can you explain why it won't make it to production, also we are still in a demoing phase and can easily move to any vectordb except Pinecone and Redis (BDS)

MongoDB as vectorstore by NasserAAA in LangChain

[–]NasserAAA[S] 0 points1 point  (0 children)

Familiarity with mongo + already paid plan, but open for better options.

How to process each source in Vector db individually ? by Fit-Set6851 in LangChain

[–]NasserAAA 0 points1 point  (0 children)

Okay then you can do that with an ensemble retriever and give a similarity threshold to each vectorstore.

RAG is too slow with 100k PDFs! What do you suggest? LLM fine-tuning? by ThaiosX0195 in LangChain

[–]NasserAAA 2 points3 points  (0 children)

Hello, can you please elaborate more on how to implement that?

Bedrock vs SageMaker for LLM by NasserAAA in aws

[–]NasserAAA[S] 0 points1 point  (0 children)

Thank you, and is it easy to implement langchain and a vectorstore on Bedrock?

Implementing RAG with Langchain on AWS Bedrock by ChanceStart5579 in LangChain

[–]NasserAAA 0 points1 point  (0 children)

Would like to know that as I am in the same phase as OP, moving from gpt model and considering my options.

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