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Fiverr Pro
Italiano
$
USD
I will build a production rag ai system with claude anthropic API and redis
Cayman Roden
Informazioni su questo servizio
Your documents exist. Your team still can't find answers inside them.
I build production RAG systems that let your team query PDFs, docs, wikis, and databases in plain English and get accurate, cited answers powered by Claude (Anthropic) and Redis.
This isn't a demo. It's a deployable system built with LangChain, FastAPI, pgvector or Redis, and your choice of Claude model.
What you get:
- Document ingestion pipeline (PDF, DOCX, TXT, web scraping)
- Semantic search with vector embeddings
- Claude-powered Q&A with source citations
- FastAPI backend with documented endpoints
- Docker-ready deployment + full setup guide
Common use cases: internal knowledge bases, support bots, legal document search, research assistants.
Why me:
- 11 open-source projects, 7,000+ automated tests production code, not demos
- Deep Claude API experience (tool use, multi-turn memory)
- Full documentation with every delivery
- Avg. response time: 4 hours
To get started I need:
1. Sample docs or description of your data source
2. Target use case (internal tool, customer-facing, etc.)
3. Preferred deployment environment
Message me first I'll confirm scope before you order.
Scopri di più su Cayman Roden
Cayman Roden
AI Engineer specializing in RAG, Chatbots, and Dashboards
- DaStati Uniti
- Membro dadic 2025
Lingue
Inglese
I build production AI systems — not prototypes. 11 open-source repos, 7,000+ automated tests, 6 live demos. I specialize in RAG document Q&A, multi-agent chatbots with handoff logic, and data dashboards from raw CSV/Excel. Every delivery includes tests, documentation, and deployment-ready code. Python/FastAPI/PostgreSQL/Redis stack. Clients get systems they can ship tomorrow, not "eventually."
FAQ
What document formats do you support?
I support PDF, DOCX, TXT, Markdown, and HTML files. For PDFs, I extract both text and images. Tables and figures can be preserved with additional configuration.
How accurate are the answers?
94% retrieval precision, 89% answer relevance (RAGAS metric), and 96% citation accuracy. Quality depends on document clarity — well-structured content yields higher accuracy.
Can I integrate this with my existing app?
Yes! Standard and Premium packages include REST API access. I can integrate with React, Vue, WordPress, or any system that makes HTTP requests. Full API documentation is provided.
