AI/RAG Project Technical Audit
Architecture review of AI applications, RAG pipelines, vector search, embedding models, and LLM integrations. Identify quality, performance, and scalability issues with actionable recommendations.
Technical AI audits, RAG assistant development, Telegram AI integrations, and intelligent business automation. Practical solutions built with Node.js/TypeScript/Python, APIs, and modern AI technologies.
Architecture review of AI applications, RAG pipelines, vector search, embedding models, and LLM integrations. Identify quality, performance, and scalability issues with actionable recommendations.
Build a working AI assistant that retrieves information from your documents and knowledge base. Includes data indexing, vector search, LLM-powered responses, and an API for application integration.
Develop Telegram bots powered by LLMs, personalized workflows, message processing, and external API integrations. Suitable for customer support, automated inquiries, consultations, and AI assistants.
Connect services, automate repetitive operations, process data, and build reliable backend workflows. Node.js/TypeScript/Python API integrations designed to reduce manual work and improve operational efficiency.
Design and integrate custom AI capabilities, including intelligent search, AI agents, LLM integrations, automated information processing, and extensions to existing software. Scope and pricing are determined after requirements analysis.
Submit a development or technical audit inquiry through our chatbot. Describe your goals, existing technology stack, and expected outcome to help determine the scope and suitable collaboration format.
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