You will get a Custom RAG Application Using OpenAI & LangChain
Project details
You will get a production-ready Custom RAG (Retrieval-Augmented Generation) application built using OpenAI and LangChain, designed to deliver accurate, context-aware AI responses grounded in your own data.
I build end-to-end RAG systems that allow AI to securely retrieve, reason, and answer from documents, PDFs, databases, and internal knowledge bases. This is ideal for AI copilots, SaaS products, internal tools, dashboards, and enterprise workflows where reliability matters.
➤ Custom RAG architecture designed for your use case
➤ OpenAI (GPT-4 / GPT-4 Turbo) integration
➤ LangChain retrieval pipelines & agent logic
➤ Vector database setup (Pinecone, Weaviate, ChromaDB)
➤ Document ingestion, chunking & embeddings
➤ Semantic search & relevance tuning
➤ Secure backend APIs (FastAPI / Flask)
➤ Scalable, production-ready deployment
I focus on reducing hallucinations, improving accuracy, and building systems that scale, not fragile demos.
CTA
➤ Share your data or workflow
➤ Get expert guidance on RAG architecture
➤ Let’s build a Custom RAG application that actually works
I build end-to-end RAG systems that allow AI to securely retrieve, reason, and answer from documents, PDFs, databases, and internal knowledge bases. This is ideal for AI copilots, SaaS products, internal tools, dashboards, and enterprise workflows where reliability matters.
➤ Custom RAG architecture designed for your use case
➤ OpenAI (GPT-4 / GPT-4 Turbo) integration
➤ LangChain retrieval pipelines & agent logic
➤ Vector database setup (Pinecone, Weaviate, ChromaDB)
➤ Document ingestion, chunking & embeddings
➤ Semantic search & relevance tuning
➤ Secure backend APIs (FastAPI / Flask)
➤ Scalable, production-ready deployment
I focus on reducing hallucinations, improving accuracy, and building systems that scale, not fragile demos.
CTA
➤ Share your data or workflow
➤ Get expert guidance on RAG architecture
➤ Let’s build a Custom RAG application that actually works
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $99
These options are included with the project scope.
$99
- Delivery Time 2 days
- Number of Revisions 2
About Jose
Expert AI Engineer | AI Agents, RAG, LangChain, OpenAI | Enterprise AI
Haines City, United States - 7:49 pm local time
They need AI systems that actually work in production and deliver ROI.
I’m Jose D., an Expert-Vetted AI Engineer specializing in AI Agents, Retrieval-Augmented Generation (RAG), and enterprise-grade AI automation.
I help teams move from:
➤ 𝐀𝐈 𝐜𝐮𝐫𝐢𝐨𝐬𝐢𝐭𝐲 → ➤ 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 → ➤ 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐜𝐨𝐬𝐭 𝐬𝐚𝐯𝐢𝐧𝐠𝐬 𝐨𝐫 𝐜𝐚𝐩𝐚𝐜𝐢𝐭𝐲 𝐠𝐚𝐢𝐧𝐬
No hype. No demos that die in Slack.
Only production-ready AI.
🔹𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐁𝐮𝐢𝐥𝐝
I design and implement end-to-end AI systems that plug directly into real operations.
➤ AI Agents & Agentic AI systems
➤ RAG pipelines (documents, PDFs, knowledge bases)
➤ Internal AI copilots for teams
➤ Document intelligence & automation
➤ Conversational AI & chatbots
➤ Voice AI (speech-to-text, text-to-speech)
➤ AI integrations with CRMs, ERPs, internal tools
Everything is designed for scale, security, and maintainability.
🔹𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 (𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭)
I’m a strong fit if:
➤ Your company has 5+ employees
➤ You’re a decision-maker
➤ Your project budget is $5k+
➤ You want $10k+ in measurable savings or gains
➤ You’re ready to start within 2 weeks
If you’re shopping on price or want overnight results, we won’t work well together.
🔹 𝐑𝐞𝐚𝐥 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 (𝐍𝐨𝐭 𝐓𝐡𝐞𝐨𝐫𝐲)
➤ Healthcare AI notetaker → saved doctors 6 hrs/week, reduced follow-ups 40%
➤ Diagnostic lab automation → 20x operational efficiency, 1,000+ daily samples
➤ Purchase order AI → 85% less manual work, approvals cut to 3 hours
➤ Document AI → 500+ staff hours saved/month
➤ AI therapy assistant → 10x scale, 1,200+ concurrent users
These aren’t experiments.
These are live systems.
🔹 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞)
➤ Python, Django, FastAPI, Flask
➤ LangChain, LangGraph, LlamaIndex
➤ OpenAI, Claude, Hugging Face
➤ RAG pipelines & vector databases
➤ Docker, Kubernetes, AWS, GCP, Azure
➤ Pinecone, Weaviate, ChromaDB
➤ REST & GraphQL APIs
➤ HubSpot, Salesforce, Stripe, Slack, Zapier
Tool choice is driven by use-case, not trends.
🔹 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤
➤ Clear scoping from day one (no surprises)
➤ Locked deliverables & timelines
➤ Fast communication (usually <30 min)
➤ End-to-end ownership from idea → launch
➤ Systems designed to live beyond MVP
I treat your project like a product, not a gig.
If you’re serious about deploying AI agents, RAG systems, or automation that delivers ROI, send a message.
➤ 𝐎𝐫 𝐛𝐨𝐨𝐤 𝐚 30-𝐦𝐢𝐧𝐮𝐭𝐞 𝐩𝐚𝐢𝐝 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐚𝐮𝐝𝐢𝐭 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲
If AI isn’t the right move for you yet, I’ll tell you straight.
AI Engineer, AI Agent Development, Agentic AI, Retrieval Augmented Generation, RAG Developer, LangChain Expert, LangGraph, OpenAI API, Generative AI Engineer, Enterprise AI Solutions, AI Automation, AI Workflow Automation, Conversational AI, AI Chatbot Development, Document Intelligence, PDF QnA Systems, Vector Database Integration, LLM Engineering, Prompt Engineering, AI Copilot Development, AI System Architecture, AI API Integration, Python AI Developer, FastAPI Developer, Machine Learning Engineer, AI SaaS Development, AI Operations Automation, AI for Healthcare, AI for Operations, AI Productivity Tools, Voice AI Development, Speech to Text AI, Text to Speech AI, Multi Agent Systems, AI Consulting, AI Integration Services, AI Infrastructure, Production AI Systems
Steps for completing your project
After purchasing the project, send requirements so Jose can start the project.
Delivery time starts when Jose receives requirements from you.
Jose works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.