GenArchitect | Production AI Systems
[ MISSION ]

Engineering
Agentic
Intelligence.

We build AI agents that autonomously execute your complex workflows, from research to execution to verification.

No Hallucinations
Full Ownership
Production Ready
Find Your Solution
[ CORE_SERVICES ]

What We Build

AI systems that execute end-to-end workflows autonomously.

[ ACTIONS ]

Agentic Workflows

AI that doesn't just retrieve - it reasons, plans, and executes. From research to API calls to self-correction.

Multi-step reasoning
Breaks complex tasks into logical sequences
Tool orchestration
Executes API calls, runs scripts, queries databases
Self-correction
Validates outputs and retries on failure
[ ANSWERS ]

Hybrid RAG

Search your documents with AI that cites sources and verifies facts. No generic responses. No hallucinations.

Hybrid search
Combines semantic vectors + keyword matching
Re-ranking & precision
Cross-encoder scoring for relevance optimization
Citation tracking
Every answer links back to source documents
[ ACCURACY ]

Custom LLM Evaluation

Measure factual accuracy, retrieval quality, and business impact before production.

Fact verification
Compare answers against source documents
Retrieval testing
Verify search finds correct documents
Production monitoring
Real-time quality scores and alerting
[ APPROACH ]

Why Agentic AI

Traditional AI assists. Agentic AI autonomously executes end-to-end workflows.

Autonomy

Traditional AI Assistants

Requires human for every step; waits for instructions

Agentic Systems

Autonomous execution of multi-step workflows without intervention

Reasoning

Traditional AI Assistants

Single-turn responses; no planning or adaptation

Agentic Systems

Multi-step planning, self-correction, and dynamic replanning

Actions

Traditional AI Assistants

Answers questions; human performs all actions

Agentic Systems

Executes workflows: API calls, database operations, system integrations

Knowledge

Traditional AI Assistants

Generic responses from training data; no citations

Agentic Systems

RAG-powered with your data, verified citations, and zero hallucinations

Reliability

Traditional AI Assistants

Manual testing; unpredictable outputs

Agentic Systems

Automated testing, evaluation frameworks, and production monitoring

[ DEMONSTRATION ]

Live Demo

Production RAG system showcasing the techniques we implement for clients. Try it live →

[ IMPLEMENTATION ]

Production RAG System

Live system demonstrating agentic planning, hybrid search, and automated evaluation.

RAGnosis live system interface
[ DATA_SCALE ]
11K+ Indexed Sources
LangChain, LlamaIndex official documentation
HuggingFace model metrics and performance
GitHub repository activity and trends
[ TECHNICAL_FEATURES ]

Agentic AI Workflow

Autonomous agents that plan multi-step workflows, execute complex searches, and self-validate outputs.

RAGnosis capabilities and features
[ MARKET_INSIGHTS ]

Opportunity Analysis

RAGnosis opportunity analysis
[ EVALUATION ]
0.91 Faithfulness Score
Source-grounded answers with citations
RAGAS evaluation framework metrics
Automated quality assessment pipeline
[ SEARCH_TECH ]

Hybrid Search

Vector + keyword parallel search
RRF weighted fusion algorithm
pgvector HNSW graph indexing

See the difference Agentic AI can make

Schedule a technical deep-dive

Find Your Solution
[ INDUSTRY_SOLUTIONS ]

Use Cases

Autonomous agents executing complex workflows across industries.

[ HEALTHCARE ]

Clinical Documentation Agent

Researches patient histories across EHR systems, validates protocols, generates clinical notes with citations.

[ FINTECH ]

Fraud Detection Agent

Real-time monitoring, multi-source fusion, automated case escalation.

[ LEGAL ]

Contract Intelligence

Autonomous contract analysis, clause extraction, compliance reporting.

[ ENTERPRISE ]

Internal Knowledge Agent

Cross-platform search, synthesis, and automated reporting across your knowledge base.

[ MANUFACTURING ]

Quality Control Agent

Automated defect detection, root cause analysis, and compliance reporting.

[ SUPPLY_CHAIN ]

Logistics Optimizer

Route optimization, demand forecasting, and inventory management automation.

[ TECHNOLOGY_STACK ]

Technology

Production-grade AI frameworks with enterprise deployment.

[ ORCHESTRATION ]

Agent Frameworks

Multi-agent orchestration and retrieval systems

LangChain LangChain
LlamaIndex LlamaIndex
CrewAI CrewAI
AutoGen AutoGen
LangGraph LangGraph
Haystack Haystack
HuggingFace HuggingFace
Cohere Cohere
OpenRouter OpenRouter
[ FOUNDATION_MODELS ]

LLM Deployment

Cloud and on-premise language models

OpenAI OpenAI
Anthropic Anthropic
Gemini Gemini
Azure AI Azure AI
Mistral Mistral
Bedrock Bedrock
Ollama Ollama
[ DATA_LAYER ]

Data & Vectors

Traditional and vector databases

PostgreSQL PostgreSQL
MongoDB MongoDB
Redis Redis
Supabase Supabase
Pinecone Pinecone
Weaviate Weaviate
Chroma Chroma
Qdrant Qdrant
[ EVALUATION ]

LLM Quality

RAGAS RAGAS
DeepEval DeepEval
Phoenix Phoenix
UpTrain UpTrain
[ OBSERVABILITY ]

Monitoring

LangSmith LangSmith
Langfuse Langfuse
Grafana Grafana
Prometheus Prometheus
[ INFRASTRUCTURE ]

Cloud & Deployment

Scalable infrastructure and orchestration

AWS AWS
GCP GCP
Azure Azure
Docker Docker
Kubernetes Kubernetes
Terraform Terraform

Ready to build your autonomous system?

Let's discuss your requirements

Find Your Solution
[ GET_STARTED ]

Find Your Solution

Tell us about your workflow bottlenecks and we'll show you how AI can automate them.

What to Expect

  • Response within 2 business days
  • Free 30-minute discovery call
  • No-obligation consultation
  • Custom recommendations if there's a fit