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I will integrate gpt and langchain with llama rag into your app
Ilya P
About this gig
I integrate GPT and LangChain with Llama to build reliable RAG so your app answers from your own data with citations. You get a clean FastAPI service or a small demo, plus docs your team can run in minutes. Works with private data and on-prem when needed.
What you get: API or demo, prompt set and examples, data loaders and a tuned retriever, vector database with FAISS or Pinecone, light guardrails, basic metrics and a small eval set. I include README, env files and a short handover video. On request I deploy to Vercel, RunPod or AWS.
Packages:
- Basic - focused GPT API integration.
- Standard - LangChain RAG with vector DB and demo.
- Premium - production pipeline on Llama or GPT, FastAPI service, docs and cloud-ready setup.
Extras I can add: local Llama via Ollama, token cost tracking and logs, auth and rate limits, caching for latency, monitoring, Docker compose for one-click run. NDA friendly; security and data minimization by default.
Highlight: Send your goal and a small data sample - I will confirm the best package and timeline.
Get to know Ilya P
Ilya P
AI Solutions and SaaS Architect AI Developer and Full Stack Developer
- FromPoland
- Member sinceJul 2025
- Avg. response time1 day
Languages
English, Belarusian, Russian, Polish
8 years’ experience | 60+ projects | Master’s in Data Science & AI | Only 5-star reviews ⭐⭐⭐⭐⭐
I’m an AI SaaS Architect, Full Stack Developer, and AI Developer building production AI, SaaS and Web apps from idea to deployment🔹I lead architecture and delivery across Python/FastAPI, React/TypeScript, LLM/RAG, APIs, billing, and cloud deployment🔹For larger scopes, I work with my own boutique team while remaining your single technical point of contact and personally leading the critical path🔹I’ll help turn your idea into a scalable AI-powered product — faster and smarter.
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FAQ
Can you use both GPT and Llama?
Yes. I start with GPT for speed, and can move to Llama for on prem or cost control.
Do I really need RAG?
Do I really need RAG?
What do you need to start?
Goal, sample inputs and outputs, small data sample, and access to repo or stack.
Where will it run?
Web on Vercel, backend on RunPod or AWS. Local run is supported for private data.
Do I own the code?
Yes. You get source code, README and env files. Everything is yours after delivery.
Which vector database do you use?
FAISS for simple cases, Pinecone for scalable hosting. I can work with Chroma too.
How do we measure quality?
We agree on metrics, prepare a small eval set and check results before release.
Can you add phone calls or CRM?
Yes. Pick the Extras and I will connect a voice agent and log leads to your CRM.
