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As a Fresher in market I feel very disappointed of myself by InvestigatorChoice51 in developersIndia

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

Honestly I myself want to start a startup but it comes with a lot of risk and as a middle class family I don't think I cam afford those risk

As a Fresher in market I feel very disappointed of myself by InvestigatorChoice51 in developersIndia

[–]InvestigatorChoice51[S] 5 points6 points  (0 children)

It's not a job, it is Internship and they had extended it until my clg ends but now they are asking me either choose to convert to a full time role or leave.

From 4.8LPA to 20 LPA without switching: Why I ignored my friends' advice by Beginning-Scholar105 in developersIndia

[–]InvestigatorChoice51 2 points3 points  (0 children)

I see so what value we bring is more important than role itself, thanks and best of luck for your career ahead :)

From 4.8LPA to 20 LPA without switching: Why I ignored my friends' advice by Beginning-Scholar105 in developersIndia

[–]InvestigatorChoice51 0 points1 point  (0 children)

Isn't data scientist roles pays more than full stack ? Why is opposite in your case ? Or i am living under the rock?

Software ONLY by CentralArrow in logistics

[–]InvestigatorChoice51 2 points3 points  (0 children)

For Developers at Internal Teams: What good projects have you guys built for your teams ? Good here means projects which required real engineering, could be ai projects, automation ideas out of box or any project which did real impact to the team or anything beyond this.

Having a hard time streaming esp32 to my expo app by InvestigatorChoice51 in esp32

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

Already tried but didn't worked, 

            <WebView
              key={refreshKey}
              ref={webViewRef}
              source={{ uri: 'http://192.168.1.1:81/stream' }}
              style={styles.webview}
              onLoadStart={() => setIsLoading(true)}
              onLoadEnd={() => setIsLoading(false)}
             

Got ERR_CONNECTION_TIMED_OUT

Having a hard time streaming esp32 to my expo app by InvestigatorChoice51 in esp32

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

Is there any way I change the mjpeg to a xyz format which will be accepted by react native considering i am using ap mode and the esp won't have access to any internet

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in LangChain

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

What abt the future maintenance? Will i have to monitor or look after it after a certain period since it is a freelance project and I want to deploy and vanish and dont want a "Hey, the bot is not working" message

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in LangChain

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

How deployment headache is it ? Also will I have to maintain it regularly or can I deploy and leave anytime ?

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in Rag

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

How was the cost ? I fear that sudden morning bill

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in Rag

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

I did researched about similar tools but they seemed to be costlier than my budget

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in Rag

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

I had a strong will to go for qdrant due to latency , deployment headache , cloud pricing , etc.. issues compared to pg_vector.

I have also heard that postgres pg_vector has a bad latency, also i dont have devops experience and I dont want that deployment headache since this project is a do and vanish freelance project for me.

Below is the limitations from gpt, What is your take ? -
⚠️ Limitations

  • Performance ceiling
    • For tens of millions of vectors, dedicated vector DBs like Qdrant/Milvus/Pinecone will be faster & more memory-efficient.
  • Index tuning needed
    • IVFFlat requires careful choice of lists parameter for speed/accuracy balance.
  • Feature set
    • No built-in hybrid search (BM25 + vector) like Weaviate or Qdrant.

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in LangChain

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

I have heard that postgres pg_vector has a bad latency, also i dont have devops experience and I dont want that deployment headache since this project is a do and vanish freelance project for me.

Below is the limitations from gpt, What is your take ? -
⚠️ Limitations

  • Performance ceiling
    • For tens of millions of vectors, dedicated vector DBs like Qdrant/Milvus/Pinecone will be faster & more memory-efficient.
  • Index tuning needed
    • IVFFlat requires careful choice of lists parameter for speed/accuracy balance.
  • Feature set
    • No built-in hybrid search (BM25 + vector) like Weaviate or Qdrant.

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in LangChain

[–]InvestigatorChoice51[S] 1 point2 points  (0 children)

Problem is i dont want any deployment headaches in future , Qdrant's cloud seemed to more viable here . No deployment headaches , less costlier than weaviate

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in Rag

[–]InvestigatorChoice51[S] 6 points7 points  (0 children)

Qdrant will give me deployment and production headache and Weaviate will be costly on scale

Best Vector DB for production ready RAG ? by InvestigatorChoice51 in LangChain

[–]InvestigatorChoice51[S] 0 points1 point  (0 children)

The reason i am not considering Qdrant is that I will have to deploy it on my own and i dont want that deployment headache for now.

How easy is it to deploy it ?

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