Add AI to Your Product: RAG Chatbot, Document Q&A, LLM FeaturesSujay Singh
Add practical AI features to your app or business — built to work reliably in production, not just as a demo.
Who it's for: SaaS products, agencies and businesses that want an AI assistant over their own docs, automated content generation, or LLM-powered workflows.
What I can build
RAG chatbots and document Q&A over your PDFs, docs or knowledge base
LLM features inside your app: content generation, summarization, extraction, classification
Agent workflows with LangChain / LangGraph
Integrations with OpenAI, Claude or Gemini, with embeddings and vector search (FAISS or Postgres)
Process
Discovery — we pick the use case, data sources and success criteria
Prototype — a working version on your real data to validate quality
Productionize — API endpoints, UI integration, prompt tuning, cost and latency checks
Handover — deployment, documentation and guidance on monitoring
Recent examples: a RAG PDF chat app (LangChain, embeddings, FAISS) and an AI-powered publishing platform with LLM-assisted writing.
FAQs
Starting at$1,200
Duration2 weeks
Tags
FastAPI
LangChain
OpenAI
Python
AI Developer
Service provided by
Sujay Singh Varanasi, India
- 2
- Followers
Add AI to Your Product: RAG Chatbot, Document Q&A, LLM FeaturesSujay Singh
Starting at$1,200
Duration2 weeks
Tags
FastAPI
LangChain
OpenAI
Python
AI Developer
Add practical AI features to your app or business — built to work reliably in production, not just as a demo.
Who it's for: SaaS products, agencies and businesses that want an AI assistant over their own docs, automated content generation, or LLM-powered workflows.
What I can build
RAG chatbots and document Q&A over your PDFs, docs or knowledge base
LLM features inside your app: content generation, summarization, extraction, classification
Agent workflows with LangChain / LangGraph
Integrations with OpenAI, Claude or Gemini, with embeddings and vector search (FAISS or Postgres)
Process
Discovery — we pick the use case, data sources and success criteria
Prototype — a working version on your real data to validate quality
Productionize — API endpoints, UI integration, prompt tuning, cost and latency checks
Handover — deployment, documentation and guidance on monitoring
Recent examples: a RAG PDF chat app (LangChain, embeddings, FAISS) and an AI-powered publishing platform with LLM-assisted writing.
FAQs
$1,200