Abhishek Paitode

Let's connect if you are Building, Learning, Failing and Repeating the process 🚀

[Abhishek Paitode @gravitygotmeup]

@Ai_Vaidehi Need

[Abhishek Paitode @gravitygotmeup]

@suraj_sharma14 Haven't started building anything yet but exploring and learning new things by buildings small Proj. and yess soon moving to build one ⭐PRODUCT .

[Abhishek Paitode @gravitygotmeup]

Implemented CRAG with rule-based routing and transitioning toward LLM-based decision making!

Key concepts :
Nodes & Edges
StateGraph (LangGraph)
Conditional Edges for dynamic workflow routing

🔥 If you're interested in #AI #ML #GenAI #LangGraph, let's connect!

#letsconnect

[Abhishek Paitode @gravitygotmeup]

@JunaidAckroyd Yesss connect

[Abhishek Paitode @gravitygotmeup]

@bhaveshbuildz Let's connect having the same areas of interest

[Abhishek Paitode @gravitygotmeup]

Pydantic is leveraged to define output schemas, ensuring that data generated by the LLM is parsed, validated, and returned in a structured format.

[Abhishek Paitode @gravitygotmeup]

This is what i learnt in Pydantic
Pydantic is essential for GenAI applications because AI models return unstructured/raw text that needs validation, parsing, and structuring.

[Abhishek Paitode @gravitygotmeup]

@divyaporwal_ I've completed the basics of building microservices architecture and am now learning AI topics in parallel (LLMs and VRAG ). I'm planning to go deeper. Could you share recommended resources and your insights on whether this path makes sense?

[Abhishek Paitode @gravitygotmeup]

Today went through the concept of corrective RAG now will be working on to build a small project on it to strengthen the concepts.

[Abhishek Paitode @gravitygotmeup]

@Sanjiv_vk let's connect

[Abhishek Paitode @gravitygotmeup]

Do you know the difference between using a RAG and fine-tuning a MODEL ?
Which method would you use ?

[yourclouddude @yourclouddude]

2026 PROJECT BUILDING CHALLENGE 🚀

1. Build 1 project every month
2. No tutorial copying
3. Push code to GitHub daily
4. Write a README for every project
5. Learn by building, not watching
6. Solve 1 real-world problem each week
7. Deploy at least 1 project/month
8. Share your progress publicly
9. Improve 1 old project every week
10. Finish projects before starting new ones

By the end of 2026, you'll have a portfolio most people never build.

Who's in? Mark your attendance 👇

[Abhishek Paitode @gravitygotmeup]

Deployed the first version of VRAG 🚀
Backend on @render
Frontend on @vercel
Built a VRAG pipeline using HF Inference Endpoints and LC components.
This project taught me about embeddings, retrieval, and LLM-powered apps.

#AI #LLM #RAG #LangChain #BuildInPublic

[Abhishek Paitode @gravitygotmeup]

@tiwarisuhani_11 Will rate limiting increase the response time ?

[Abhishek Paitode @gravitygotmeup]

@dev_nexus2011 let's connect

[Abhishek Paitode @gravitygotmeup]

Deploying the Vector project i made to learn how it works in th real env and how it breaks !!
using @render

[Abhishek Paitode @gravitygotmeup]

For an engineer, coding is the final step.
The true craft begins with designing systems that are robust, scalable, reliable, and efficient.

[Abhishek Paitode @gravitygotmeup]

@Bramha_01 Compounding at start won't be visible as it's a slow moving event but being consistent we realise it's exponential leaps 🚀

[Abhishek Paitode @gravitygotmeup]

Currently dealing with chunking strategy bottleneck resulting in poor retrieval of relevant chunks resulting in low and incomplete response from the LLM.
#letsconnect if you are building or interested in #ai #ml #genai

[Abhishek Paitode @gravitygotmeup]

Here's how my VRAG is failing in OPEN BOOK EXAM