You will get an AI knowledge assistant built with Supabase RAG
Rising Talent
Rising Talent
Project details
I build secure internal AI knowledge assistants that turn company documents into instant, source-grounded answers for employees and teams. This system ingests SOPs, contracts, policies, training materials, and meeting notes, organizes them for semantic search, and delivers fast natural-language responses with citations so users can trust where the answer came from. It is designed for internal knowledge access, onboarding, policy lookup, operational Q&A, and support workflows. Built on Supabase with pgvector, authentication, and row-level security, it supports multi-user access and clean separation of data. The result is a practical AI product that reduces time spent searching through documents, improves consistency, and makes internal knowledge actually usable. It also leaves room for growth through better retrieval, reranking, feedback loops, and re-indexing as the knowledge base expands.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$350
|
Standard
$500
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 4 days | 5 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
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.
Additional Revision
+$150Frequently asked questions
4 reviews
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(1)
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This project doesn't have any reviews.
LD
Lyle D.
Jun 8, 2026
Pre-refactor codebase audit — B2B SaaS platform
Salvador was exceptional to work with. He took on our project with clear milestones and hit every one. The insights received were actionable and exactly what we needed to scale our product into the future. A true professional. We will not hesitate to work with Salvador again. Highest recommendation.
IM
Itza M.
May 12, 2026
AI Job Matching & Application Automation System
Salvador was great to work with. He understood the system I wanted to build, asked good questions, and turned it into a working AI-powered job matching workflow.
He kept the implementation practical and organized, including job discovery, scoring, resume and cover letter generation, PDF output, and a review flow.
I’m very happy with the result and would work with him again.
He kept the implementation practical and organized, including job discovery, scoring, resume and cover letter generation, PDF output, and a review flow.
I’m very happy with the result and would work with him again.
DL
DILLAN L.
Apr 28, 2026
Full-Stack JavaScript Developer Needed to Finish Custom Patch Layout Generator (Node.js App)
Salvador is great to work with, I would not hesitate to work with him again. He went above and beyond to help me succeed with my project! You should pick him for all your projects!
CH
Chris H.
May 15, 2019
Fix email functionality on Condition Monitor (ColdFusion) web application
Salvador is an excellent ColdFusion developer
About Salvador
Senior SaaS Engineer | React, APIs, AI Workflows, Production Systems
100%
Job Success
Pembroke Pines, United States - 3:28 pm local time
My work is centered around live SaaS systems, API integrations, and production debugging. I’m typically brought in to step into an existing codebase, resolve issues quickly, and deliver clean, maintainable solutions without unnecessary rewrites.
Recent roles:
• Hands-on CTO — Trust Event Solutions (SaaS platform, payments, workflows)
• Technical Lead — multi-tenant SaaS platform serving large institutional users (APIs, reporting, SSO, AI workflows)
Steps for completing your project
After purchasing the project, send requirements so Salvador can start the project.
Delivery time starts when Salvador receives requirements from you.
Salvador works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review and data validation
I review the selected tier, confirm the delivery scope, and validate the sample documents, deployment preference, and any required branding so the implementation starts with clear assumptions and no unnecessary back-and-forth.
Core RAG system setup
I set up the core retrieval pipeline, including document ingestion, embedding generation, Supabase storage and database structure, and the basic query flow needed to power semantic search and grounded AI responses.