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Fiverr Pro
English
$
USD
I will build an ai chatbot with rag on your custom knowledge base
Azzam
Level 2
About this gig
Most "AI chatbots" on Fiverr are a system prompt and a GPT wrapper. They sound smart for thirty seconds then hallucinate answers your customers quote back to support. That's not what I build.
I build chatbots grounded in your actual content PDFs, docs, policies that cite sources on every answer. If the bot doesn't know, it says so. If it does, it shows the source. Buyers and support teams trust this differently from generic GPT bots.
The pattern is RAG: your content indexed into a vector DB, chatbot searches semantically, LLM reads relevant chunks, answer comes out grounded with citations. Standard and Premium add hybrid search + re-ranking for harder questions.
Recent work: a support bot pulling from 800+ help articles, cutting response time hours seconds; a sales-enablement bot for product/pricing; an internal knowledge bot ingesting Notion + Slack.
How it runs: I scope sources, send an indexing plan, build with your real content (no toy data), deliver source + Loom walkthrough. US/EU hours, replies within an hour.
Send me the content the bot should know and the audience asking. I'll come back within the hour with scope and fixed price.
Get to know Azzam
Azzam
I help SAAS startups go from prototyping to scalable products
Level 2
- FromPakistan
- Member sinceMay 2017
- Avg. response time1 hour
- Last delivery1 week
Languages
Urdu, English, Punjabi, Hindi
Hi there this is Azzam. I am an avid Software Engineer at heart with a keen interest in SaaS startups. In my 9 years tenure I have helped my clients make more than 300k in funding and revenue but most importantly I have saved almost the same amount for other clients by employing prototyping and fast fail strategies. I like to build products that clients also benefit from to make the Collaboration beneficial for both of us. So forward your requirements, sit back and enjoy a unique experience of this strategy on this platform.
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FAQ
What's the difference between Basic, Standard, and Premium?
Basic is one knowledge source and a clean working chatbot — great for testing the approach. Standard adds multi-source ingestion, citations, and integrations like Slack/Discord — the most common pick for live customer-facing bots. Premium adds a re-ranking layer, hybrid search, observability dashboa
What kinds of knowledge sources can the bot ingest?
PDFs, Word docs, Markdown, plain text, websites (crawled), Notion, Google Drive, Confluence, Zendesk help centres, GitHub repos. If it has structured text I can probably ingest it. Custom sources (your own database, internal API) are an add-on.
Why does this cost more than someone offering a "GPT chatbot" for $20?
Because what I'm building is fundamentally different. A $20 chatbot is a system prompt and a GPT call — it'll hallucinate, won't cite sources, and won't know your actual content. RAG with proper indexing, hybrid search, citations, and re-ranking is real engineering work, and the difference shows the
How much will the LLM API cost to run this in production?
Typical: $0.01–$0.10 per user message on GPT-4o-mini, depending on knowledge-base size and answer length. For a chatbot answering 1,000 messages a day, that's roughly $10–$100 / month in API costs, paid directly to the LLM provider. I'll project this for your specific use case before we start.
Where does the chatbot live — my website, my Slack, somewhere else?
Your call. Web widget (like Intercom), embeddable iframe, standalone web app, Slack bot, Discord bot, WhatsApp, Telegram, or all of the above. Web widget is included in every package; others are add-ons or part of Standard.
How do you keep the knowledge base up to date when my content changes?
Standard and Premium include re-indexing automation. I set up a pipeline (cron, webhook-triggered, or manual command) that re-ingests changed content. For Premium I include a monitoring dashboard so you can see when indexing happens and whether anything failed.
What happens to my content — is it sent to OpenAI / Anthropic for training?
No. OpenAI and Anthropic have data-use policies that exclude API content from training (verified in their terms). Your content stays your content. If you have stricter data-residency needs we can use open-source LLMs deployed on your infra — happy to scope.
Can I see how the bot is being used — what people ask, where it gets stuck?
Premium includes a queries dashboard so you can see top questions, response quality, and "gaps" in the knowledge base where users asked things the bot couldn't confidently answer. This is gold for finding documentation holes. Standard logs queries but doesn't include the dashboard UI.
