Building Production AI Systems
Retrieval-driven, agentic, and automation-focused AI solutions for modern business workflows.
RAG pipelines · Multi-agent systems · LLM integrations · AI-powered ecommerce · Semantic search
About the Lab
Bahrami Labs is an independent AI engineering studio building retrieval-driven, agentic, and automation systems for real-world business workflows.
Founded by Hossein Bahrami Nekoo, an AI engineer focused on production RAG architectures, multi-agent orchestration, and LLM integrations — with deep roots in ecommerce systems engineering.
Every system built here is designed for real deployment: structured pipelines, observable architectures, and practical AI that solves specific business problems.
Featured Systems
Production-grade AI systems with documented architecture, real deployment, and measurable outcomes.
ClauseGuard
Legal teams need to scan contracts for risk clauses and answer specific questions — manually, across dozens of documents.
Multi-agent LangGraph pipeline: QueryPlanner → Retrieval → RiskAnalysis → Synthesis. Clause-aware chunking with parent-child hierarchy, hybrid embeddings with language-based model routing, Qdrant Cloud for document-scoped vector search.
- ▸3 query modes: risk scanning (8 categories), Q&A with page citations, summarization
- ▸Hybrid embeddings: BGE for English, multilingual E5 for bilingual contracts
- ▸Deployed: Render (FastAPI backend) + Vercel (Next.js frontend)
AI Semantic Search for Magento & Adobe Commerce
Magento's default keyword search fails for natural language queries — users search for 'comfortable running shoes' and get no results.
FastAPI microservice generating sentence embeddings via SentenceTransformers, FAISS vector index built from product catalog. Magento module intercepts search requests and queries the AI service, with automatic fallback to native search.
- ▸~50ms search latency on CPU for 2,000+ product catalogs
- ▸Zero Magento core modifications — fully module-based
- ▸End-to-end pipeline: extraction → embeddings → indexing → API
SwarmFlow
Complex tasks require coordinated AI agents — but most frameworks don't provide observable, production-grade orchestration.
Leader–worker agent topology built on LangGraph. Leader decomposes tasks and routes to specialized worker agents. Real-time monitoring via FastAPI + WebSockets dashboard. Supports cloud and self-hosted LLMs interchangeably.
- ▸Leader–worker architecture with task planning and parallel execution
- ▸Real-time monitoring dashboard with live agent state visibility
- ▸Plug-in support for Ollama, OpenAI, and any OpenAI-compatible provider
Explore More on GitHub
Additional AI experiments, tools, and open-source projects are available on my GitHub. Explore the full range of work, from production systems to research explorations.
Visit GitHub ProfileAdobe Commerce & Magento Extensions
Production-ready Magento extensions built for ecommerce teams.
AI Content Generator
Generate SEO-optimized product descriptions, meta titles, and meta descriptions in one click — using any OpenAI-compatible AI provider, right inside admin panel.
Save hours on content creation. Choose your AI provider, writing style, and description structure. The extension handles the rest — with full encryption, ACL controls, and PageBuilder support.
Learn MoreOne-click generation
Generate product descriptions instantly from the admin panel — no page reload.
Preview & approve
Review generated content in a modal before applying to your products.
Multi-provider support
Works with OpenAI, OpenRouter, Groq, DeepSeek, Gemini, or self-hosted endpoints.
Multi-language output
Generate content in any language with full translation and localization.
8 writing styles
Professional, Casual, Luxury, Technical, Playful, Minimalist, Persuasive, Storytelling.
Encrypted API keys
Secure storage using Magento's built-in encryption backend model.
What We Build
Engineering capabilities across the full AI systems stack — from retrieval pipelines to deployed agentic workflows.
Agentic AI Systems
Multi-agent pipelines with autonomous planning, tool use, and decision routing using LangGraph and custom orchestration layers.
Retrieval-Augmented Generation
Production RAG systems with hybrid retrieval, smart chunking, reranking, and document-scoped semantic search.
AI Workflow Automation
End-to-end automation workflows that replace manual processes with LLM-driven pipelines integrated into existing business systems.
LLM Integrations
Connecting any OpenAI-compatible provider — OpenAI, Groq, DeepSeek, Gemini, Ollama — into production applications.
AI Search & Knowledge Systems
Vector-based semantic search replacing keyword matching, with embedding pipelines and real-time query serving at production latency.
AI-Powered Ecommerce Tools
AI systems purpose-built for ecommerce: semantic product search, AI content generation, catalog automation, and customer intelligence.
Multi-Agent Architectures
Leader–worker and peer-to-peer agent topologies for complex task decomposition, parallel execution, and result synthesis.
Local & Self-Hosted AI
Fully private AI deployments using self-hosted models — no data leaves your infrastructure.
Work with Bahrami Labs
Building a RAG system, agentic workflow, or AI-powered product? Let's talk about the architecture.
We work on production AI integrations, retrieval systems, multi-agent pipelines, and LLM applications — across ecommerce and general business workflows.
What we take on
- ▸RAG & Retrieval SystemsDocument ingestion, chunking, hybrid search, reranking pipelines.
- ▸Agentic AI WorkflowsMulti-agent orchestration, tool use, and task automation with LangGraph.
- ▸LLM IntegrationConnecting any provider into production applications via clean API layers.
- ▸AI-Powered EcommerceSemantic search, content generation, catalog intelligence for Magento and beyond.
- ▸AI Architecture ConsultingSystem design, pipeline review, and technical direction for AI projects.