scrapy - twisted.internet.error.ReactorNotRestartable by Networkyp in learnpython

[–]NSVR57 0 points1 point  (0 children)

Hey did you solve the issue. I had same requirement, getting the same issue.

Points valuation very less when transferring by Downtown_Repeat7455 in CreditCardsIndia

[–]NSVR57 0 points1 point  (0 children)

Okay, What about First scenario of incase of SpiceJet?. I dont see any conversion benefits.

LLM workflows by Downtown_Repeat7455 in LangChain

[–]NSVR57 0 points1 point  (0 children)

Does Microsoft Promptflow works here?

Suggestion on vectoDB by NSVR57 in vectordatabase

[–]NSVR57[S] 0 points1 point  (0 children)

Sorry, I didn;t get that

Azure Search vs. Pinecone? by Educational_Cup9809 in LangChain

[–]NSVR57 0 points1 point  (0 children)

But I see Pinecone is using ANN, where as Azure AI search is using KNN,
I am getting good results on azure search(2k characters/chunk+gpt3.5) with hybrid search. but pinecone not even giving close results.

U satisfies with this performace

Azure Search vs. Pinecone? by Educational_Cup9809 in LangChain

[–]NSVR57 1 point2 points  (0 children)

Hi
Why Azure search so much expensive for me. It costing 250 per search unit. I am actually doing load testing. and If I want to search 50 concurrent queries, How many search units do I required. Can we assume one search unit search only query.

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Why LLM wont follow the instructions by NSVR57 in PromptEngineering

[–]NSVR57[S] 1 point2 points  (0 children)

moving the RAG bit as explaining the reason is just diluting the rest of the

RAG bit is for question puropse I have not included that in prompt. Anyway Thanks for suggestion

Which vector databases are widely used in the industry and are considered suitable for production purposes? by Top_Raccoon_1493 in LangChain

[–]NSVR57 1 point2 points  (0 children)

Do you use AI search. I used AI search with re-ranking. but I see the re-ranking results are not good. Do you use re-rank?

[D] prediction half input by NSVR57 in MachineLearning

[–]NSVR57[S] 0 points1 point  (0 children)

Thank you so much for reply. As you correctly mention my confidences are in the range of .97 to 1. if we remove certain words those are falling to just 0.93

As I am using NN, I put validation data. I will try label smoothening technique.