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Fiverr Pro
English
$
USD
I will build ai rag chatbot with claude API and chromadb
Darov
About this gig
I build AI-powered features using Claude API (Anthropic) and RAG (Retrieval-Augmented Generation) with ChromaDB - turning your app into something that can understand and answer questions from your own data.
What I actually do:
- Design and implement RAG pipelines: document chunking, embeddings, vector search with ChromaDB
- Integrate Claude API for intelligent responses, structured outputs, and conversational logic
- Wrap everything in a clean FastAPI backend, with PostgreSQL (via SQLAlchemy 2.0) for storing chat history, metadata, or user data
- Set up Docker-based deployment when you need something production-ready
My background: I work daily with FastAPI, PostgreSQL, and the Claude API including a RAG-based project (Rocket Projection) that combines an agent loop with vector search over real data. I focus on solid, working integrations rather than overpromising features I haven't actually built.
Not included in this Gig (happy to discuss separately): AI model fine-tuning, mobile app development.
Let's talk about your project before you order - I'll tell you honestly if RAG/Claude API is the right fit, or suggest a simpler approach if it isn't.
Get to know Darov
Darov
Python Backend Developer, FastAPI, AI and RAG Integration
- FromUkraine
- Member sinceOct 2025
Languages
English, Ukrainian, Russian
Python backend developer: FastAPI, PostgreSQL, AI integrations.
I build production-style backends: async REST APIs, SQLAlchemy 2.0 + Alembic, payment gateways, automated testing. Recent work: AI platform with a RAG pipeline (FastAPI, ChromaDB, Claude API), and an ordering system with LiqPay + Telegram bot notifications.
I help with:
- Backend APIs (FastAPI, PostgreSQL, SQLAlchemy)
- AI/LLM integrations: RAG, chatbots, tool-use agents
- Telegram bots
- Basic frontend for full-stack builds
Competitive programming background (ICPC). Message me before ordering to clarify scope.
My Portfolio
FAQ
Do you fine-tune AI models?
Not at the moment — I focus on RAG and prompt-based integrations with the Claude API, which cover most real-world use cases without the cost and complexity of fine-tuning.
Which AI provider do you work with?
Primarily Claude (Anthropic) API. The integration patterns are similar across LLM providers, so this is easy to adapt if needed.
Do I need to provide my own data for the RAG system?
Yes – you'll provide the documents/data you want the AI to reference (PDFs, docs, database records, etc.). I handle the chunking, embedding, and retrieval setup.
Can you deploy this to production?
Yes, the Premium package includes Docker-based deployment. For Basic/Standard, I deliver working code you can deploy yourself, or we can discuss deployment as an add-on.
