You will get an AI assistant that answers questions from your own documents (RAG)


Project details
I build AI assistants that answer questions using your company's documents, with sources, tuned to your specific use case.
Background: I recently built and deployed an internal RAG platform at a cybersecurity firm, used daily by 70+ consultants — multiple specialized assistants, curated knowledge bases, and an automated pipeline that keeps documentation up to date.
What you get: a working assistant over your documents, built on OpenWebUI (self-hostable, no vendor lock-in) or your preferred stack, with prompt engineering adjusted to your use case and a clean handoff. The Standard tier includes 15 days of post-delivery support; Advanced includes 30 days.
Typical use cases: internal knowledge assistant for your team; support documentation Q&A; onboarding assistant; policy and process lookup.
Not included: hosting costs, LLM API usage fees, document digitization (scanned documents need OCR — quoted separately), or scope changes after kickoff. If you're not sure which tier fits, message me first and I'll help you scope it.
Background: I recently built and deployed an internal RAG platform at a cybersecurity firm, used daily by 70+ consultants — multiple specialized assistants, curated knowledge bases, and an automated pipeline that keeps documentation up to date.
What you get: a working assistant over your documents, built on OpenWebUI (self-hostable, no vendor lock-in) or your preferred stack, with prompt engineering adjusted to your use case and a clean handoff. The Standard tier includes 15 days of post-delivery support; Advanced includes 30 days.
Typical use cases: internal knowledge assistant for your team; support documentation Q&A; onboarding assistant; policy and process lookup.
Not included: hosting costs, LLM API usage fees, document digitization (scanned documents need OCR — quoted separately), or scope changes after kickoff. If you're not sure which tier fits, message me first and I'll help you scope it.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 35 days |
Number of Revisions | 1 | 2 | 2 |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $400
Additional Revision
+$75
Post-delivery support (30 days)
+$200
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HC
Henry C.
May 6, 2026
Tableau Expert – Financial Data Analytics
JG
Juan Carlos G.
Apr 28, 2026
Data analyst
ES
Eric S.
Mar 16, 2017
Physics + R
Great Job. Very hard worker and enthusiastic. Very easy to work with. I highly recommend.
About Montserrat
AI & Automation Specialist | GenAI, LLMs, Workflow Automation
100%
Job Success
Ciudad de Mexico, Mexico - 1:27 am local time
I design and deploy GenAI solutions for production use. Most recently, I led AI strategy at a cybersecurity firm, where I:
- Built an internal AI assistant (RAG + LLMs) used daily by 70+ employees, reducing information retrieval time by 40%
- Coordinated a 5-person technical team across AI initiatives
- Designed automation workflows using n8n, OpenWebUI, Elasticsearch/OpenSearch, and GCP
What I can help you with:
- Internal AI assistants and RAG architectures
- Workflow automation with n8n, Make, or custom Python solutions
- LLM integrations (OpenAI, Anthropic, Google)
- GenAI strategy and implementation roadmaps
Background: 9+ years in AI and data science, including enterprise projects for clients like Grupo Bimbo, Infonavit, and government institutions in Mexico and Colombia, and 7 years working remotely with a US-based e-learning company. Physics background (UNAM).
I communicate clearly, deliver on time, and focus on solutions that create real business impact.
Steps for completing your project
After purchasing the project, send requirements so Montserrat can start the project.
Delivery time starts when Montserrat receives requirements from you.
Montserrat works on your project following the steps below.
Revisions may occur after the delivery date.
Review your documents and confirm the assistant design and scope with you
Set up the platform and ingest your documents