You will get End-to-end RAG System Build
Project details
End-to-end RAG implementation: data ingestion, vector store, retrieval pipeline, Claude integration, and an eval harness so you can measure quality. I'll build it on your data and hand off a system your team can extend.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Generated Video, Automatic Speech Recognition, Image Analysis, Image Processing, Image Recognition, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Hugging Face, Jasper AI, PyTorch, TensorFlowAI Models
ChatGPT, DALL-E, Dolly, GPT-4, LaMDA, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included $3,500
These options are included with the project scope.
$3,500
- Delivery Time 14 days
- Number of Revisions 1
- AI Model Integration
- Database Integration
- Prompt Engineering
- Source Code
About Keahi
Claude API Developer | CRM | Agentforce | RAG | AI Agent Systems
Portland, United States - 11:16 am local time
My niche is the messy middle: connecting Claude to your CRM, your knowledge base, and your existing tools so AI actually does work instead of just answering questions.
Recent production results:
• Built RAG-enabled agent assist that cut average processing time by 54 minutes per transaction
• Deployed Claude workflows handling 10,000+ daily customer interactions for an enterprise contact center
• Designed AI-driven lead routing + scoring that lifted operational efficiency by 47%
• Influenced $15.8M in pipeline through technical demos and production deployments
What I build:
• Claude API integrations — workflows, agents, and automations on Sonnet, Opus, and Haiku (Python / Node.js)
• RAG systems — retrieval pipelines grounded in Salesforce CRM, knowledge bases, and operational docs, so answers are sourced, not hallucinated
• AI agents & orchestration — multi-step agentic workflows in n8n and custom orchestration with tool use
• CRM + AI — Agentforce, Service Cloud Voice, Amazon Connect, lead routing and scoring
• Prompt engineering & evals — production A/B testing, eval frameworks, cost/accuracy optimization
Credentials: Salesforce Certified Administrator · Agentforce Specialist · AWS Generative AI Applications Professional · Google AI Professional
How I work: I prototype fast and iterate against real metrics — deflection rate, response time, resolution accuracy — not vibes. I write clean code, document what I build, and hand off systems your team can actually maintain.
Engagement: Paid 1-hour discovery calls for scoping. Fixed-scope builds for defined projects. Multi-week engagements for production rollouts. Responsive on Upwork — most messages answered within a few hours during business hours PT.
Best fit if you're saying:
"We want to add Claude to our Salesforce/CRM stack but don't know where to start."
"Our chatbot hallucinates — we need real RAG."
"Build us an AI agent that does X across Y systems."
"Audit our prompt engineering and make it production-ready."
Send me your job post and I'll tell you in the first reply whether it's a fit and what I'd do first.
Steps for completing your project
After purchasing the project, send requirements so Keahi can start the project.
Delivery time starts when Keahi receives requirements from you.
Keahi works on your project following the steps below.
Revisions may occur after the delivery date.
Week 1
Kickoff call to align on use case, success metrics, and test queries. Review data and confirm sources. Set up the ingestion pipeline, vector store, and embeddings. Integrate Claude and build the initial retrieval logic. Share early demo for feedback.
Week 2
Tune prompts and retrieval parameters based on feedback. Build the eval harness and run it against your test queries. Iterate until quality targets are met. Deploy to your environment, document the system, and hand off with a 30-minute walkthrough.