A Telegram bot that answers from your knowledge base uses AI to search your documents and return accurate, sourced responses. On aidowith.me, the Telegram Bot route has 14 steps to build one from scratch. You'll upload your existing content (PDFs, Google Docs, FAQ pages, product documentation) and the bot converts it into searchable chunks using embeddings. When someone asks a question in Telegram, the bot finds the most relevant section of your knowledge base and generates a response grounded in your actual content. This means fewer hallucinated answers and responses that match your company's information. Cursor AI writes all the code. The route covers document processing, embedding generation, vector search, response formatting, and fallback handling when the answer isn't in the knowledge base. The full build takes about 3 hours. The bot works for customer support, internal team questions, product information, and HR policy lookups.
Last updated: April 2026
The Problem and the Fix
Without a route
- Your team asks the same 20 questions every week and someone has to answer each time
- AI chatbots hallucinate answers that sound right but contain wrong information about your company
- Your knowledge base exists but nobody reads it because searching through docs takes too long
With aidowith.me
- A Telegram bot that answers from your actual documents, not AI hallucinations
- Handles repetitive questions 24/7 so your team focuses on work that matters
- Built in 3 hours with Cursor AI. Upload any docs: PDFs, Google Docs, FAQ pages
Who Builds This With AI
Founders
Move fast on pitches, pages, research. AI as your first hire.
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Upload and process your documents
Feed your existing content into the system. The route converts PDFs, docs, and text files into searchable chunks using embeddings.
Build the question-answering bot
Cursor AI writes the code that receives Telegram messages, searches your knowledge base, and generates grounded responses. You set the tone and fallback rules.
Test, refine, and deploy
Ask test questions, verify the answers match your documents, adjust the retrieval settings, and deploy. The bot is live and answering within the same session.
Build your knowledge base Telegram bot
14 steps. About 3 hours. A bot that answers from your own documents.
Start This Route →What You Walk Away With
Upload and process your documents
Build the question-answering bot
Test, refine, and deploy
Built in 3 hours with Cursor AI. Upload any docs: PDFs, Google Docs, FAQ pages
"New hires used to ping me 10 times a day with policy questions. Now they ask the bot and it gives them the right answer from our wiki."- People ops lead, 50-person startup
Questions
The route uses retrieval-augmented generation (RAG). The bot searches your uploaded documents for relevant content first, then generates a response based on what it found. If the answer isn't in your knowledge base, the bot says so instead of making something up. This approach keeps responses grounded in your actual information.
PDFs, Google Docs, plain text files, Notion exports, and markdown files all work for the knowledge base. The route processes them into searchable chunks regardless of format. Most teams upload their FAQ, product documentation, internal wiki, and policy documents. You can add new documents anytime without rebuilding the bot or reprocessing existing content.
Yes. Upload your support documentation, product guides, and FAQ to the bot's knowledge base. The bot handles common questions and escalates complex ones by forwarding them to your support team in Telegram. Many small businesses use this as their first line of customer support, reducing ticket volume by 40 to 60 percent on average.