# Arfitect

> Custom AI development, enterprise RAG and agent workflows.

Public information only. Contact: hello@arfitect.com

## Company

- [About](https://www.arfitect.com/en/about-us.md)
- [Contact](https://www.arfitect.com/en/contact-us.md)

## Services

- [Services](https://www.arfitect.com/en/services.md)
- [AGENTIC AI WORKFLOWS](https://www.arfitect.com/en/services/agentic-automation.md)

## Case studies and technical insights

- [Projects](https://www.arfitect.com/en/projects.md)
- [ROOT CAUSE ANALYSIS TOOL](https://www.arfitect.com/en/case-studies/root-cause-analysis-tool.md)
- [Zero Human Touch: From Jira Tickets Into Bitbucket Pull Requests](https://www.arfitect.com/en/insights/zero-human-touch-from-jira-tickets-into-bitbucket-pull-requests.md)
- [How I Match the Right AI Tool to the Right Problem](https://www.arfitect.com/en/insights/how-i-match-the-right-ai-tool-to-the-right-problem.md)
- [Hybrid Search Approach for Enhanced Chatbot Performance Using Databases and Elasticsearch](https://www.arfitect.com/en/insights/hybrid-search-approach-for-enhanced-chatbot-performance-using-databases-and-elasticsearch.md)
- [RAG Performance Comparison of Local SLMs and OpenAI LLMs](https://www.arfitect.com/en/insights/rag-performance-comparison-of-local-slms-and-openai-llms.md)
- [What is RAG (Retrieval Augmented Generation)? What You Need to Know for an End-to-End RAG Project](https://www.arfitect.com/en/insights/what-is-rag-retrieval-augmented-generation-what-you-need-to-know-for-an-end-to-end-rag-project.md)