Build Intelligent RAG Chatbots: PDF Querying Made Easy

Build Intelligent RAG Chatbots: PDF Querying Made EasyBuild Intelligent RAG Chatbots: PDF Querying Made Easy

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Madhavi Akella

• May 25

RAG Chatbot: Built a full-stack Retrieval-Augmented Generation system enabling users to query any PDF document in plain English. Designed the complete pipeline — text extraction, chunking with overlap strategy, FAISS vector indexing, semantic retrieval, and LangChain-based response generation. Production deployed on Streamlit Cloud. Tech: Python, LangChain, FAISS, Sentence Transformers, Streamlit, PyPDF2.

Completed work

Streamlit AI Development AI Engineer LangChain

Ste D'Elboux

• May 25

What if CapCut had launched during the Y2K internet era? 💿✨

I reimagined CapCut as CapCut.exe, an alternate digital universe inspired by chrome aesthetics, retro interfaces, CDs and early internet nostalgia.

Built using CapCut Design Studio... from idea generation and visual exploration to refining the final creative world.

🔗 https://www.capcut.com/ai-design?shareId=7643629371705720839

capcutdesignstudio AI VIsual Designer AI Art AI Development CapCut Google Gemini

Dylan Siegel

• May 26

This is so cool!

Hardik Paghdar

pro

• May 25

AI demos are easy.

Production AI is where engineering begins.

Anyone can connect an LLM API and make something that looks impressive in a demo.

But real businesses need systems that survive messy users, bad inputs, edge cases, and scale.

Production AI means:

✅ Grounded retrieval (RAG) ✅ Reliable tool/API execution ✅ Structured outputs ✅ Agent workflows with business logic ✅ Monitoring, evals, and feedback loops ✅ Infrastructure that scales in production

The difference between an AI demo and an AI product?

Architecture.

That’s where most “AI startups” break.

I build AI systems that go beyond prompt wrappers — production-ready LLM agents, RAG pipelines, and full-stack AI products.

If you're building something real, build it like software.

#AIEngineering #LLMAgents #RAG #GenerativeAI #LangChain #LangGraph #OpenAI #ClaudeAI #Python #FastAPI #AWS #VectorDatabase #AIProduct #SaaS #ArtificialIntelligence #Contra #FreelanceDeveloper #AIConsultant

Atolani Adegbesan

• May 28

This is amazing

Madhavi Akella

• May 25

Resume Matcher: AI-powered semantic matching system that scores a resume against any job description, identifies skill gaps, and generates specific improvement suggestions. Uses Sentence Transformers for semantic similarity scoring and keyword gap analysis across 40+ tech skills. Tech: Python, Sentence Transformers, scikit-learn, NLP, Streamlit.

Completed work