Currently learning & improving MERN Stack π
β’ Strengthening React, Node.js & MongoDB
β’ Building real-world projects
β’ Solved 500+ DSA problems
Sharing my journey, mistakes & progress daily
Follow me if you're learning web development π
#web3ββ#MERN
Day 100 of #100DaysOfCode π
Been away from posting for 6 days due to health issues, but kept learning.
Today: Tools & Agents in LangChain π€
Tools extend LLM capabilities, while agents decide which tool to use and when.
100 days completed! πͺ
#LangChain#GenAI#LLM
Day 99/100 π #100DaysOfCode
Today I learned about Chains & Runnables in LangChain π¦π
β’ Why Runnables over Chains?
β’ Types of Runnables
β’ Runnable composition & workflows
1 day to go! π₯
#LangChain#GenAI#LLM#Python
Day 94/100 of #100DaysOfCode π
β Built frontend components for DocMind AI.
π Learned about different types of retrievers in LangChain and their role in RAG.
Slowly building, learning, and improving every day. π»
#buildinpublic#GenAI#LangChain#RAG#React
Day 92/100 of #100DaysOfCode π
Today I revised the RAG pipeline and deepened my understanding of embedding generators, how ChromaDB stores and searches embeddings, and how to retrieve collections using "get()". Building stronger AI fundamentals every day. πͺ
#100DaysOfCode#RAG
Day 91/100 of #100DaysOfCode π
Today I:
β Deployed my frontend on Vercel
β Deployed my backend on Render
β Completed my first RAG project! π
Another step forwardβexcited to keep building and learning.
#BuildInPublic#AI#RAG#React#FastAPI#Vercel#Render
πDay 90/100 of #100DaysOfCode
Today I started learning RAG by building a data ingestion pipeline. Also explored how OpenAI API keys work and how the temperature parameter control LLM responses.
One step closer to mastering GenAI
#RAG#GenAI#LLM#OpenAI#Python#BuildInPublic
Day 89/100 of #100DaysOfCode π
Today I:
- Revised my RAG concepts.
- Updated the README.md.
- Improved the project's responsiveness.
One step closer to becoming a better developer. π»
#BuildInPublic#GenAI#WebDevelopment
Day 88/100 #100DaysOfCode π
Started building my first RAG application with LangChain, revised RAG concepts, deployed my database to MongoDB Atlas, and built a small practice project.
Learning, building, and improving every day.
#LangChain#RAG#GenAI#MongoDB#BuildInPublic
Day 87/100 of #100DaysOfCode π»
Day 2 of restructuring the frontend for Trendora.
β Continued the frontend restructure
β Fixed a few small bugs
Slowly building a cleaner and more maintainable codebase. π
#ReactJS#Frontend#WebDevelopment#CodingJourney