u/Pleasant-Survey6861

I recently attended IBM ASE rounds and on the same day I got BGV Mail. But till now there is no further update.

When I mailed ibmhiringschool , they said they are waiting for appropriate demand to onboard me.

Recently, IBM launched some other role that aligns my background, I am confused whether to apply for the new role while my ASE role is in interview process.

Will it cause any problem if I apply to new role?

I have been playing with rag, recently i built a traditional RAG application on LangChain Docs.
During the development phase, I went through multiple errors - chunking failed, manual overlap chunks took me around 49 min to ingest into vector DB.(idk how can i make speed this up)

Anyhow, I was able to complete the project but the answers are not relavant in the retreival phase. After debugging, I realised I did a huge mistake in Ingestion.

Recently, I got to know about GraphDB, so I want to try it out.
But before doing that, I want to know when to use GraphRAG and when not to.
What are the pros and cons?
I got to know whenever I chat the graph keeps on building - i think this would cost me.
How can I solve this?

Let me know folks.
Any help is much appreciated.

I started learning about RAG and recently I finished a project in it. I built that project using open source models:

- LLM : granite-8b

- Embedder : BGE-M3

- Vector DB : qdrant ( volumes are loaded in the system)

I have everything on my system, now if i want to deploy this, how can i do that?

I have some doubts:

- What's the best way/ tech stack to deploy this?

- If I deploy this, how can someone get result while the model is on my hardware? Do i need to deploy this in huggingFace and create an end point to the model? Why would I do that? Coz I don't want some other person to burn my GPU?

- How? How can we deploy applications built using open source models?

I am a bit confused, considering that I am newbie, help me solve this problem.

Hey, I am building a RAG application using LangChain documentation for leaning purpose. I chunked the docs using MarkDownSplitter, but unfortunately what happened is , in the documentation, decorators like '@tool' are vanished. I ingested everything into qdrant (and it took me around 48 mins - coz i am doing this entirely using local embedders).

When I started doing retrieval part, i was not able to rank the top chunks perfectly coz of irrelavant chunking process.

How to decide chunking process?
How can we updtae the chunking process if the chunks are already loaded in qdrant?

I started learning about RAG, please guide me.

Hey, ik I am a bit late into this thing. Anyhow I started out learning about RAG, I got to know it's like providing the relevant context from data source to the llm for the given query.

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And the main thing lies in tackling the context window, we perform chunking, get relevant chunks and then use those chunks to generate the response.

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I am thinking of building a simple PDF ChatBot, which is a basic project in RAG.

I want to know what skills I need to learn to build a production level RAG application ( considering I am a newbie )

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Am I in the right way of learning RAG or am I just wasting my time?

Please help me with this and suggest what things I need to do?

I am a 2025 graduate with no prior experience, no job, no internship experience, not an expert in anything. You can say Jack of all Trades, Master of None.

I am starting from scratch again, this time I want to get a job in the field of AI.
To the people who already sorted out, please suggest me what exact steps I need to follow?

And to the people who are in same situation, tell me what you are doing to survive?