You will get a RAG System with LLM Integration (Gemini, OpenAI, Cohere)
Project details
I build production Retrieval-Augmented Generation (RAG) pipelines — not demos. If you need a document intelligence system, a compliance checker, or a semantic search engine that actually works in production, this is the right service.
What I deliver:
RAG architecture with vector embeddings (Gemini text-embedding-004, OpenAI, Cohere)
Cosine similarity retrieval with pre-computed embedding stores for sub-2-second latency
LLM response generation with citation injection to prevent hallucination
Google Cloud Run deployment (serverless, auto-scaling)
Multi-LLM pipelines: Gemini, Claude, GPT, Ollama (local)
Built for: compliance teams, legal document review, knowledge bases, internal search tools
What I deliver:
RAG architecture with vector embeddings (Gemini text-embedding-004, OpenAI, Cohere)
Cosine similarity retrieval with pre-computed embedding stores for sub-2-second latency
LLM response generation with citation injection to prevent hallucination
Google Cloud Run deployment (serverless, auto-scaling)
Multi-LLM pipelines: Gemini, Claude, GPT, Ollama (local)
Built for: compliance teams, legal document review, knowledge bases, internal search tools
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device CompatibilityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 2 | 3 | 3 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
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About Kanchan
Senior Technical Architect | AI Engineering & Agentic Systems
Leeds, United Kingdom - 12:26 am local time
Key Metrics & Impact
Production Deployment: Shipped 8+ live applications across the UK, USA, and India with local server execution and high-security deployment.
Healthcare Reliability: Selected for NHS Propel HealthTech Accelerator (2025) to develop diagnostic support tools focusing on data security.
Cost & Efficiency: Built Python-based simulation models for behavioral analysis and ROI forecasting, reducing manual analysis time.
Core Expertise
Agentic Frameworks: Autonomous workflows using LangGraph, CrewAI, and custom Python state machines.
Voice Intelligence: Enterprise-grade agents (Twilio, ElevenLabs) for automated clinical scheduling.
Production RAG: High-performance retrieval using Weaviate, Pinecone, and advanced chunking.
LLM Orchestration: Integration of Gemini, GPT-4, and Claude 3.5 into Python/React stacks.
Technical Stack Python (FastAPI, Flask), Node.js, Docker, GCP (Certified), Firebase, OpenAI API, Google Vertex AI, LangChain.
Strategy MBA in Finance & Marketing. I prioritize code quality, SOLID principles, and long-term maintainability over quick-fix prototypes.
Suggested Skills Tags Python, LangChain, RAG, System Architecture, GCP, AI Engineering, Healthcare Technology, Voice AI, Docker, FastAPI.
Steps for completing your project
After purchasing the project, send requirements so Kanchan can start the project.
Delivery time starts when Kanchan receives requirements from you.
Kanchan works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & Document Review
Embedding Pipeline