AI Agent or Assistant for Your App, Built on Your DataRolinmu Pan
Give your users — or your team — an AI assistant that answers from your own content and can take actions through your API.
What's included
Your data in: PDFs, docs, help-center pages, Notion exports or database tables are cleaned, split into passages and indexed with embeddings (OpenAI or similar, stored in pgvector or a managed vector database).
Grounded answers: retrieval picks the most relevant passages; the model answers only from them, cites where each answer came from, and says so when it doesn't know.
Actions (optional): tool calling against your API — look up an order, create a ticket, update a record — with an allowlist of tools, input validation and confirmation before anything is changed.
Interface: a streaming chat component for your React app, or an API endpoint your own front end can call. Conversation history is kept per user.
Proof it works: a test set of 20–30 real questions with a before/after report, plus an estimate of cost per 1,000 conversations.
Who it's for: SaaS products, support teams and internal tools that want an assistant grounded in their own content rather than a generic chatbot.
FAQs
Starting at$300
Duration1 week
Tags
AI Agents
AI Chatbot
Claude
LangChain
Node.js
OpenAI
Python
RAG
React
AI Developer
Service provided by
Rolinmu Pan Shanghai, China
- 1
- Followers
AI Agent or Assistant for Your App, Built on Your DataRolinmu Pan
Starting at$300
Duration1 week
Tags
AI Agents
AI Chatbot
Claude
LangChain
Node.js
OpenAI
Python
RAG
React
AI Developer
Give your users — or your team — an AI assistant that answers from your own content and can take actions through your API.
What's included
Your data in: PDFs, docs, help-center pages, Notion exports or database tables are cleaned, split into passages and indexed with embeddings (OpenAI or similar, stored in pgvector or a managed vector database).
Grounded answers: retrieval picks the most relevant passages; the model answers only from them, cites where each answer came from, and says so when it doesn't know.
Actions (optional): tool calling against your API — look up an order, create a ticket, update a record — with an allowlist of tools, input validation and confirmation before anything is changed.
Interface: a streaming chat component for your React app, or an API endpoint your own front end can call. Conversation history is kept per user.
Proof it works: a test set of 20–30 real questions with a before/after report, plus an estimate of cost per 1,000 conversations.
Who it's for: SaaS products, support teams and internal tools that want an assistant grounded in their own content rather than a generic chatbot.
FAQs
$300