Custom Enterprise AI Agent & RAG Pipeline (FastAPI)AI Syntax Studio
We will design, engineer, and deploy a custom Artificial Intelligence Copilot tailored specifically to your private business data.
As a dedicated 5-person engineering pod (AI Syntax Studio), we do not build fragile prototypes or basic chatbots. We engineer production-grade Retrieval-Augmented Generation (RAG) systems backed by high-throughput FastAPI architecture and secure cloud deployments.
Deliverables Included:
Custom Knowledge Base (RAG): Secure ingestion of your PDFs, databases, or unstructured data using vector databases (Pinecone, Qdrant, or FAISS).
Agentic Workflows: Multi-agent routing (LangGraph/LlamaIndex) to allow the AI to execute specific business tasks autonomously.
Scalable Backend Integration: A fully documented, modular REST API built in Python/FastAPI to connect the AI seamlessly to your existing frontend or internal dashboards.
Production Deployment: Containerized Docker deployment and MLOps tracking on AWS.
By partnering with us, you receive the sprint velocity and code quality of a complete engineering team (AI/ML, Backend, and Infrastructure) managed through a single point of contact.
FAQs
Starting at$100
Duration3 weeks
Tags
Python
PyTorch
RAG
Visual Studio Code
AI Engineer
API
Automations
LLM
ML Engineer
Service provided by
AI Syntax Studio Lahore, Pakistan
Custom Enterprise AI Agent & RAG Pipeline (FastAPI)AI Syntax Studio
Starting at$100
Duration3 weeks
Tags
Python
PyTorch
RAG
Visual Studio Code
AI Engineer
API
Automations
LLM
ML Engineer
We will design, engineer, and deploy a custom Artificial Intelligence Copilot tailored specifically to your private business data.
As a dedicated 5-person engineering pod (AI Syntax Studio), we do not build fragile prototypes or basic chatbots. We engineer production-grade Retrieval-Augmented Generation (RAG) systems backed by high-throughput FastAPI architecture and secure cloud deployments.
Deliverables Included:
Custom Knowledge Base (RAG): Secure ingestion of your PDFs, databases, or unstructured data using vector databases (Pinecone, Qdrant, or FAISS).
Agentic Workflows: Multi-agent routing (LangGraph/LlamaIndex) to allow the AI to execute specific business tasks autonomously.
Scalable Backend Integration: A fully documented, modular REST API built in Python/FastAPI to connect the AI seamlessly to your existing frontend or internal dashboards.
Production Deployment: Containerized Docker deployment and MLOps tracking on AWS.
By partnering with us, you receive the sprint velocity and code quality of a complete engineering team (AI/ML, Backend, and Infrastructure) managed through a single point of contact.
FAQs
$100