You will get Retrieval-Augmented Generation System For Enterprise
Project details
RAG System for Enterprise Knowledge Base
We don't just build chatbots; we create verifiable knowledge systems.
I provide enterprise-grade Retrieval-Augmented Generation (RAG) solutions, leveraging the technical rigor of D3 Consulting to solve the biggest challenges in AI adoption: hallucination, data security, and inaccuracy.
What sets this project apart is the production-focused methodology:
Grounded Accuracy: We engineer the RAG pipeline (using LangChain/LlamaIndex) to ensure all LLM outputs are directly cited from your proprietary documents. This eliminates model guesswork.
Scalability & Security: We implement best practices from our Senior Data Architect background, ensuring the solution is deployed on secure infrastructure (AWS/Azure ready) and can handle terabytes of data.
Measurable ROI: Our systems are designed to deliver clear business value, such as reducing manual document search time by over 40% for technical teams.
You receive a robust, documented, and fully tested RAG system tailored for your specific domain (e.g., legal, finance, or compliance).
We don't just build chatbots; we create verifiable knowledge systems.
I provide enterprise-grade Retrieval-Augmented Generation (RAG) solutions, leveraging the technical rigor of D3 Consulting to solve the biggest challenges in AI adoption: hallucination, data security, and inaccuracy.
What sets this project apart is the production-focused methodology:
Grounded Accuracy: We engineer the RAG pipeline (using LangChain/LlamaIndex) to ensure all LLM outputs are directly cited from your proprietary documents. This eliminates model guesswork.
Scalability & Security: We implement best practices from our Senior Data Architect background, ensuring the solution is deployed on secure infrastructure (AWS/Azure ready) and can handle terabytes of data.
Measurable ROI: Our systems are designed to deliver clear business value, such as reducing manual document search time by over 40% for technical teams.
You receive a robust, documented, and fully tested RAG system tailored for your specific domain (e.g., legal, finance, or compliance).
AI Algorithms
Large Language ModelAI Applications
Text RecognitionAI Development Language
PythonAI Tools
PyTorch, TensorFlowAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$4,500
|
Advanced
$16,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
About Jordan
Generative AI Expert | Custom LLM Prompt Engineering & Automation
Sao Paulo, Brazil - 7:28 pm local time
My focus is on delivering measurable results, such as:
40% reduction in content creation time through custom prompt templates.
Automated data analysis pipelines that reduce time-to-insight from 2 days to 2 hours.
Integrating LLMs (GPT-4, Claude, Gemini) and image models (Midjourney, DALL-E) seamlessly via API into your internal apps or products.
My Core Generative AI Services:
Custom Prompt Engineering: Developing and optimizing prompt libraries for specific business functions (e.g., sales copy, code generation, customer support).
AI Workflow Automation: Connecting AI models to your existing tools (Zapier, Python Scripts, internal databases).
Generative AI Modeling & Fine-Tuning: Training or fine-tuning open-source models for a niche domain or specialized output.
AI Strategy Consulting: Identifying high-leverage areas in your business to implement Generative AI for maximum ROI.
Let's discuss how we can leverage AI to give your business a significant competitive edge. Click the "Invite to Job" button and let's start a conversation about your most ambitious project.
Steps for completing your project
After purchasing the project, send requirements so Jordan can start the project.
Delivery time starts when Jordan receives requirements from you.
Jordan works on your project following the steps below.
Revisions may occur after the delivery date.
Onboarding & Data Ingestion Setup
Client provides documents and API key/cloud access. Set up the secure project environment and install required libraries (LangChain, vector DB).
Document Processing & Embedding
Parse, clean, and chunk the source documents (PDFs, DOCX). Generate secure vector embeddings and store them in the chosen Vector Database (e.g., ChromaDB, Pinecone).