ContextGPT
Instantly answer your visitor question, Ai using your data.
Hello everyone! 👋 I'm the founder of ContextGPT.in
While there is lots of Ai Chatbot solution already available in the market, but ~95% provide generic, template driven services. Almost little or no API service, No SDK methods, little or no Documentation. That's how ContextGPT was born.
With ContextGPT, you simply connect your website or upload your knowledge sources—websites, PDFs, DOCX, PPTs, YouTube, Notion, SharePoint, Confluence, GitBook, GitHub, Box, iCloud, etc etc... ContextGPT automatically indexes everything and creates an AI chatbot that answers questions using your own content.
One thing I'm proud of is Core heart of Ai Chatbot -> All AI chatbot platforms rely on a technique called RAG (Retrieval-Augmented Generation). In simple terms, they split your content into chunks, generate embeddings, and retrieve the most relevant pieces when someone asks a question.
The problem is that the quality of those chunks has a huge impact on the quality of the answers. Instead of using basic fixed-size chunking, we built a context-driven Hybrid chunking system. It preserves the meaning and relationships within your content before it's indexed. We even let users see the chunks that were created, so the retrieval process isn't a black box.
What so special about this? Because better chunks lead to better retrieval, and better retrieval leads to more accurate. Whether you use GPT-4.1-mini, GPT-4.1, the Ai would know what actually it has to talk about, No guessing at all.
!! We are only in this industry who give the users the ability to see what chunks they have for their Ai, No other SaaS provide this level of transparency. Once it's trained, you can embed it on your website or connect it with platforms like Slack, Zendesk, Crisp, Freshchat, and Zoho, so your customers and team can get instant, accurate answers wherever they work.
There's also a live demo on the website if you'd like to try it yourself. [ https://contextgpt.in/demo ]
Earlier built, AgentHIRE, currently at $5k MRR, And now shipping another solution.
I'd genuinely love your feedback—whether it's about the product, the UX, missing integrations, or features you'd like to see. Thanks for checking out ContextGPT! 🚀
3 Comments
The transparency around chunking is interesting, but I think the bigger opportunity is what that transparency creates.
Most teams don't actually want to understand RAG—they want confidence that they can explain why the AI answered the way it did. Reducing that uncertainty may end up being more valuable than the retrieval technique itself.
Thanks, @AryanSinh, for the valuable feedback. It means a lot and motivates me to keep building. Really appreciate it!
I like the direction you're taking.
One thing I'd be interested to see is whether users end up talking about the transparency itself, or simply feel more comfortable trusting the results without thinking much about how they're produced.
Those can lead to very different products over time.