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$
USD
I will build a custom ai chatbot with rag for your documents
Francisco
About this gig
Turn your documents into a useful AI assistant. I will build a custom RAG chatbot that retrieves relevant information from your files and uses an LLM to answer questions.
I am an AI/ML engineer at an analytics startup, with experience in RAG, multi-agent pipelines and production reliability.
BASIC: local proof of concept using 1 text PDF, up to 10 pages, 5 test questions and a setup guide.
STANDARD: web chat for up to 5 files and 50 pages total, source references and 15 tests.
PREMIUM: up to 20 files and 200 pages total, 1 documented API integration, 30 tests and deployment to 1 agreed environment.
All packages include source code. One use case, one language and one model provider per order. Files must contain selectable text. OCR, fine-tuning, complex authentication and ongoing maintenance are separate scope.
You pay API, hosting and database fees. AI answers can be incorrect; tests and source references help you review them. Revisions cover the original scope. Both file and page limits apply.
Message me with your use case and a sample document before ordering to confirm the right package.
Get to know Francisco
Francisco
AI Engineer, RAG Chatbots, AI Agents and Data Architecture
- FromArgentina
- Member sinceApr 2026
Languages
Spanish, English
I help startups turn AI ideas into reliable, working systems. As an AI/ML engineer at an analytics startup, I own AI solutions from discovery and design through deployment and production hardening.
I build RAG chatbots, multi-agent workflows, data cleaning pipelines, and unified data-access layers. I also improve LLM reliability, tracing, monitoring, and inference costs.
My stack includes Python, FastAPI, Java, Spring Boot, AWS, and Kubernetes. Tell me your goal and current setup so we can define a focused scope and clear deliverables.
FAQ
Are API and hosting costs included?
No. You pay model API, hosting and database fees directly to your providers. All packages include source code and setup guidance. Premium includes deployment to one agreed environment; ongoing hosting and maintenance are separate.
What do revisions cover?
Revisions adjust prompts, retrieval or chatbot behavior within the original scope and documents. New sources, features, integrations, OCR and fine-tuning require a separate quote. Both file and total page limits apply. AI outputs still need human review.
