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This project is made to generate real estate agency leads in a particular area. It uses the following components.
➤ N8N
➤ SERP API
➤ Google Sheets
➤ Telegram Bot (BotFather)
➤ OpenAI ChatGPT
➤ Custom Code Snippets
With all these components, it generates the leads and append the data into sheets. In addition, It also answers the user question in Telegram.
With Free Trial it can generate upto 5000 leads.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
A closer look inside my Clause Check template.
Clause Check is a SaaS AI concept I designed to make reviewing and understanding contracts a little easier.
Here’s a look at more of the landing page, from the UI components and interactions to the small details that bring the design together.
Obviously automated