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English
$
USD
I will deliver ai implementation, rag development, and llm integration for saas
Devsolve
About this gig
Want to add AI to an existing SaaS product without rebuilding your application around a generic
chatbot?
I will implement one focused AI or RAG feature inside your current web, mobile, or backend
product. I can connect OpenAI, Claude, or Gemini to your Node.js or TypeScript stack, PostgreSQL data, documents, APIs, and existing authentication.
Depending on the package, your feature can include:
- AI summarization, extraction, classification, or structured output
- RAG over documents, help-center content, or approved product data
- Source citations and streaming responses
- Role-aware access, rate limits, logging, and error handling
- Basic evaluation tests and Docker or cloud deployment
You receive clean source code, setup documentation, and a handover walkthrough. Model usage,
cloud hosting, paid databases, and third-party API fees are not included.
Please contact me before ordering Standard or Premium so I can confirm the scope, codebase, data access, security needs, and success criteria.
Get to know Devsolve
Devsolve
Expert Software Services
- FromPakistan
- Member sinceJul 2024
Languages
Urdu, Hindi, English
DevSolve builds production-ready AI features for SaaS, web, and mobile products. We specialize in AI implementation, RAG development, LLM integration, secure APIs, and cloud deployment using Node.js, TypeScript, React, Next.js, React Native, PostgreSQL, Docker, and AWS. We connect OpenAI, Claude, or Gemini to your existing data, documents, workflows, and authentication. Services include AI assistants, document Q&A, semantic search, structured extraction, evaluations, monitoring, and deployment. Every project includes defined scope, maintainable code, testing, documentation, and handover.
FAQ
Can you work inside my existing application?
Yes. This Gig is specifically designed for adding one focused AI capability to an existing product. I will first review the stack, setup instructions, integration points, and deployment target.
Which AI features can you build?
Common scopes include summarization, structured extraction, classification, semantic search, document Q&A, RAG assistants, source citations, and limited tool-using workflows. Complex autonomous agents require a custom quote.
Which technologies do you support?
My strongest stack is TypeScript, Node.js, NestJS, React, Next.js, React Native, PostgreSQL, REST APIs, WebSockets, Docker, and AWS. Model providers can include OpenAI, Anthropic Claude, or Google Gemini.
Does the price include OpenAI, cloud, or database fees?
No. The client provides and pays for model usage, hosting, vector databases, storage, and other third-party services. I can recommend cost-conscious options.
Can you guarantee perfect accuracy or zero hallucinations?
No honest engineer can guarantee that for a general LLM. I can reduce risk using grounded data, structured outputs, citations, permissions, validation, fallback behavior, and evaluation tests.
