You will get Enterprise RAG Platform & Intelligent Document Processing Engine
Project details
Stop paying monthly SaaS fees for black-box AI tools. I will deploy IDP, my own production-grade Intelligent Document Processing (RAG) engine, directly to your private cloud server.
Most RAG solutions fail in production because they cannot handle complex layouts, tables, or specific identifiers like "Invoice #90210." My solution is different. It uses a Hybrid Search Architecture (Vector + Keyword) and Context-Aware Chunking to ensure 100% data retrieval accuracy without hallucinations.
Most RAG solutions fail in production because they cannot handle complex layouts, tables, or specific identifiers like "Invoice #90210." My solution is different. It uses a Hybrid Search Architecture (Vector + Keyword) and Context-Aware Chunking to ensure 100% data retrieval accuracy without hallucinations.
Machine Learning Tools
ChatGPT, PyTorch, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$400
|
Standard
$1,250
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 0 | 0 | 1 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$600 - $3,500
Additional Model Variation
(+ 1 Day)
+$50
Model Validation/Testing
(+ 1 Day)
+$100
Data Source Connectivity
(+ 2 Days)
+$200
Custom dashboard
(+ 4 Days)
+$500Frequently asked questions
About Tanishq
AI Engineer (RAG & Vision) | n8n Automation & Agentic AI Specialist
Surat, India - 3:46 pm local time
I specialize in building fault-tolerant AI pipelines and ROI driven automation. By combining custom Deep Learning models (YOLO/RAG) with robust workflow orchestration, I build AI agents that are mathematically rigorous, scalable, and designed to solve hard operational bottlenecks—not just generate text.
WHAT I CAN BUILD FOR YOU:
Tier 1: Intelligent Business Automation (Immediate Impact)
1. Resilient Workflows (n8n & Make): I build error-proof automations for lead gen, CRM routing, and email processing that don't break when APIs change.
2. Conversational AI: Deploying smart, context-aware chatbots (Voiceflow/LangChain) that capture leads and solve support tickets instantly.
Tier 2: Advanced RAG & Computer Vision (Custom Solutions)
1. Complex Document Intelligence (IDP): Beyond basic OCR. I build pipelines that parse unstructured PDFs, invoices, and technical diagrams using LlamaParse and Vector Databases for high-accuracy retrieval.
2. Vision Agents: Custom YOLOv8 implementation for object detection, defect analysis, and visual compliance monitoring.
3. Privacy-First AI: Deployment of self-hosted LLMs (Llama 3, Mistral) on your private cloud/GPU infrastructure to keep your data secure.
4. LLM Fine-Tuning & Optimization: Customizing open-source models (Llama 3, Mistral) on your specific business data using LoRA/QLoRA for higher accuracy and domain expertise compared to generic GPT-4 wrappers.
MY TECH STACK:
AI/ML: Python, PyTorch, LangChain, Ollama, YOLO, OpenAI API, HuggingFace.
Backend/Web: FastAPI, Next.js, Docker.
Tools: n8n, Git.
If you are tired of "AI wrappers" that break and want an engineering-first approach, let's chat.
Steps for completing your project
After purchasing the project, send requirements so Tanishq can start the project.
Delivery time starts when Tanishq receives requirements from you.
Tanishq works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Provisioning
You provide SSH access to a fresh Ubuntu server (AWS/Azure/DigitalOcean) and your OpenAI/LLM API keys. I validate the server specifications (4GB+ RAM recommended).
Core Engine Deployment
I configure the Docker containers, setting up the Vector Database (Qdrant), the API Gateway (FastAPI), and the Async Worker queue (Celery/RabbitMQ) for document ingestion.