u/Important_Pin_5896

So I’m from a Tier-1 city and my family has a roughly 3000 sq ft old single storied structured property that’s been lying unused for years. It’s in a baazar/market area, not a posh locality or residential society.. The area is very crowded throughout the day, mostly lower middle class/slum type surroundings with constant foot traffic.

The structure itself is old and in bad condition. During monsoon, water seeps in from multiple places, so it’s not something fancy or premium businesses would fit into without heavy renovation. The road is narrow, but cars/trucks can enter. Main issue is the front side is partially occupied by vegetable hawkers who’ve been sitting there for years. My dad says they’re politically connected/goon-type people and removing them would create unnecessary problems, so we’re not considering fighting over that.

Despite all this, I feel the location still has potential because of the sheer amount of daily crowd movement. My family isn’t business-oriented, so the property was never properly utilized, but I feel like I should try to build something from it instead of letting it rot.

Problem is, I have zero real business experience. I come from a tech background, not business, so I’m trying to understand what kind of businesses actually work in such environments.

I’m mainly looking for:

- Businesses that suit crowded bazar/slum-type areas

- Something scalable over time

- Something that doesn’t require luxury frontage or aesthetics

- Businesses that can work despite narrow access roads

- Ideas with relatively practical starting costs

I’m open to anything honestly, even unconventional ideas.

Would appreciate practical suggestions from people who’ve seen these kinds of localities closely or have experience with small businesses in India.

Also wanted to know if this type of property is rented out to quick commerce like blinkit/zepto

Ps: I'm ready to invest to fix the water leakage and stuff incrementally

hey folks

i have a coding assessment coming up and they mentioned there will be a rag question. the exact line given is:

document ingestion + preprocessing, embedding creation (fastembed), in-memory vector indexing, module separation.

Also the OA will be in Hackerrank

no mention of langchain or anything so i’m confused what exactly they expect and how low level i should prepare.

1. what kind of question is this usually? like full rag pipeline or just parts of it?
2. do we have to write everything in pure python? like simulate vector db ourselves (lists/numpy) + cosine similarity?
3. for ingestion part: do we need to do chunking + preprocessing manually?
4. embedding creation (fastembed): will they expect us to actually use fastembed or just mock embeddings?
5. in-memory vector indexing: is this just storing embeddings in array and doing top-k similarity search
6. prompt engineering part also mentioned separately: do they expect just passing context to prompt or something more structured?
7. if anyone has given similar hackerank style tests, what was actually asked?

i’ve only done rag using langchain so not sure if i should prepare low level python implementations.

If you have any insights please do share...

hey folks

i have a coding assessment coming up and they mentioned there will be a rag question. the exact line given is:

document ingestion + preprocessing, embedding creation (fastembed), in-memory vector indexing, module separation.

Also the OA will be in Hackerrank

no mention of langchain or anything so i’m confused what exactly they expect and how low level i should prepare.

1. what kind of question is this usually? like full rag pipeline or just parts of it?
2. do we have to write everything in pure python? like simulate vector db ourselves (lists/numpy) + cosine similarity?
3. for ingestion part: do we need to do chunking + preprocessing manually?
4. embedding creation (fastembed): will they expect us to actually use fastembed or just mock embeddings?
5. in-memory vector indexing: is this just storing embeddings in array and doing top-k similarity search
6. prompt engineering part also mentioned separately: do they expect just passing context to prompt or something more structured?
7. if anyone has given similar hackerank style tests, what was actually asked?

i’ve only done rag using langchain so not sure if i should prepare low level python implementations.

If you have any insights please do share...