You will get a custom AI chatbot with RAG that answers from your own documents and data
Project details
Want an AI assistant that actually knows your business — not a generic chatbot? I build custom RAG (Retrieval-Augmented Generation) chatbots using OpenAI or Claude, LangChain, and a vector database. Your chatbot reads your documents, PDFs, or database and answers questions with source citations — accurately, with low hallucination.
Every delivery includes a clean API or embeddable web widget, conversation memory, and full source code. Whether you need a customer support bot, internal knowledge assistant, or document Q&A tool, you get a production-ready system your team can maintain and trust from day one.
Every delivery includes a clean API or embeddable web widget, conversation memory, and full source code. Whether you need a customer support bot, internal knowledge assistant, or document Q&A tool, you get a production-ready system your team can maintain and trust from day one.
Programming Languages
JavaScript, PythonWhat's included
| Service Tiers |
Starter
$199
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 4 | Unlimited |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code | - |
Frequently asked questions
About Takeshi
n8n Automation Developer - Supabase, REST APIs, AI Workflows
Nagoya, Japan - 9:51 am local time
I use n8n because it's self-hostable, affordable, and gives you full control over your data. I connect it to whatever stack you're already on: Supabase, Airtable, Google Sheets, Slack, Gmail, REST APIs - you name it.
My background: I've shipped automation systems for small businesses and startups in Japan, Latin America, and the US. I speak Japanese, Spanish, and English, which helps when the client and the tooling are in different time zones.
What I typically build:
- Webhook-triggered workflows (form submissions, payment events, inbound emails)
- Scheduled data syncs between databases and spreadsheets
- AI-assisted pipelines using Claude or GPT for classification, summarization, or routing
- REST APIs with Node.js + Supabase when the job needs a custom backend
- Mobile apps with Expo + React Native when it needs to go on a phone
If you have a process that runs on copy-paste or manual steps, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Takeshi can start the project.
Delivery time starts when Takeshi receives requirements from you.
Takeshi works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & data ingestion
I review your documents and data sources, then build the ingestion and embedding pipeline into a vector database so the chatbot can retrieve relevant, accurate context.