Anjishnu Ganguly

Shaken ! not stirred

[Anjishnu Ganguly @Anjishnu46]

It is around ₹68k in India ? Isnt M2 air from flipkart a better deal ? Only unique thing is the gayish color it has .

#MACBOOKNEO #Macbookairm5

[Anjishnu Ganguly @Anjishnu46]

@DurovPD Ok

[Anjishnu Ganguly @Anjishnu46]

She built this entire thing in a week. From scratch. I watched it happen in real time and it's honestly wild 🤯 😉

[Indrani Som @indrani_som2004]

I spent the last week building an AI chatbot SaaS from scratch.

🤖 Crawl any website
🧠 Generate embeddings
🔍 Semantic search with Qdrant
💬 RAG-powered answers
⚡ Deploy with one script tag
Stack:
Next.js • Node.js • Playwright • BullMQ • Redis • Qdrant • NVIDIA LLM
This has been one of my biggest AI engineering projects yet.
🧵 Here's how it works...

[Indrani Som @indrani_som2004]

I spent the last week building an AI chatbot SaaS from scratch.

🤖 Crawl any website
🧠 Generate embeddings
🔍 Semantic search with Qdrant
💬 RAG-powered answers
⚡ Deploy with one script tag
Stack:
Next.js • Node.js • Playwright • BullMQ • Redis • Qdrant • NVIDIA LLM
This has been one of my biggest AI engineering projects yet.
🧵 Here's how it works...

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 Share the repoooo !!!!

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 Exciteddd 👀

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 Excitedddddd !!!

[Anjishnu Ganguly @Anjishnu46]

Hey , @rapidoapp_ , I am frequently encountering an issue where drivers call prior to arrival demanding fare amounts significantly higher than the app's estimate. When I decline, they refuse to pick me up and insist that I cancel the trip.

One driver almost asked for a double fare.

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 Try out https://t.co/vN90U3Wb7r 😙

[Anjishnu Ganguly @Anjishnu46]

Came to play t20is
Made Indian team to peak PBKS

Sarpanch era 🔥!

[Anjishnu Ganguly @Anjishnu46]

Nevermind .....

I want Surya Back

[Anjishnu Ganguly @Anjishnu46]

Sanju Samson always has a redemption knock to prove himself, even though he doesn't need to

Funny how he is the only one who always gets targeted.

[Anjishnu Ganguly @Anjishnu46]

No one is blaming Shreyas Iyer as much as Gautam Gambhir is getting the hate.

Just saying 🙌

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 @hoichoitv @hoichoitv

[Indrani Som @indrani_som2004]

Hey @hoichoitv

Noticed a small UX issue while using the platform.

When a request fails, the UI only shows “Request failed with status code 400”, which isn’t very helpful for users. The backend likely already returns a meaningful error message, but it isn’t being displayed.

Showing the actual message from the API (instead of the generic Axios error) would make debugging and the overall user experience much better.

Just a small suggestion. 😊

[Anjishnu Ganguly @Anjishnu46]

Hey @thsottiaux, could we get the ability to switch models after a plan has finished in Plan Mode? Sometimes the planning model is different from the one I'd like to use for execution, so being able to change it before continuing would be really useful inside codex.

[Anjishnu Ganguly @Anjishnu46]

Hey @theo pleaseee release the video of gpt 5.6 sol ultra mode !!!!!

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 RAG is an importent stepping stone for long context 💯

[Indrani Som @indrani_som2004]

Day2 of learning new things and posting about it

So Today let's learn about RAG in few words

What's RAG?

LLMs answer from memory.

RAG says, "Wait... let me check the docs first." 📚🤖

Retrieve the right information ➜ Generate the answer and stop the hallucination

Basically, AI with receipts. 😄

#AI #RAG #LLMs #AIEngineering

[Indrani Som @indrani_som2004]

I am trying to start my journey towards learning AI/ML since a long time now but each time I start I just lost my motivation so I decided to post small ideas or parts of my learning through visuals and some examples each day I learn something new . So this is Day1 of me posting about a small idea

How "Frequently Bought Together" Actually Works

Imagine you open your mobile to order a bread from Blinkit and buy a loaf of Bread.
Immediately, Blinkit suggests Butter with a sign Frequently Bought Together

How did it know?
Step 1: Unsupervised Learning
There are no labels or correct answers.

The system simply looks at millions of past shopping carts to discover hidden patterns.

Step 2: Association Rule Learning
It asks one simple question:
"What products are usually bought together?"
Example:
Customer 1 → Bread + Butter
Customer 2 → Bread + Butter + Milk
Customer 3 → Bread + Eggs
Customer 4 → Bread + Butter + Jam

Step 3: Apriori Algorithm
Apriori scans all transactions.
It counts how often different products appear together.
It discovers:
Bread + Butter appears very frequently.
So it creates the rule:
Bread → Butter

Step 4: FP-Growth Algorithm

Apriori works well, but scanning millions of transactions repeatedly becomes slow.

FP-Growth stores the data in a compact tree structure.
Instead of checking everything again and again, it finds the same patterns much faster.

Final Result
When a new customer adds Bread to the cart...
The recommendation system already knows:
People who buy Bread often buy Butter.
Frequently Bought Together
Ans:🧈 Butter

This diagram is made using https://t.co/Jp4e5omPMB

[Anjishnu Ganguly @Anjishnu46]

@indrani_som2004 Letsss gooooooo !!!!!