DeeperMind.ai

Hey Indie Hackers 👋

I’ve been heads down for the past several days, obsessively refining how my system handles semantic chunking at scale — and I think I’ve finally reached something solid.

This isn’t just about processing big documents anymore. It’s about making sure that the answers you get are laser-precise, even when dealing with massive unstructured data.

Here’s what I’ve achieved so far:

• Clean and context-aware chunking that scales to large volumes

• Smart overlap and semantic segmentation to preserve meaning

• Ultra-relevant chunk retrieval in real-time

• Dramatically improved answer precision — not just “good enough,” but actually impressive

It took a lot of tweaking, testing, and learning from failures. But right now, the combination of my chunking logic + OpenAI embeddings + ElasticSearch backend is producing results I’m genuinely proud of.

If you’re building anything involving RAG, long-form context, or smart search — I’d love to hear how you're tackling similar problems.

Let’s connect and compare strategies!

The dashboard is online, allowing you to view disk usage, queries made, and more at a glance. This is essential for implementing the future business model to know the quotas used.

https://deepermind.ai and click on "Try the Beta version for free"

Best regards

Hello everyone, I haven't had time to publish the roadmap, yes, I know. But I have something better, the dashboard is almost finished, it will allow you to visualize the number of sources that each user has in their account, disk usage as well as the queries made over time. The self-categorization is also almost finished. These are big projects but it is essential!!! Thank you for your support

Today I'm going to release a roadmap for better tracking of ongoing actions. And the BETA app has just been published on Product Hunt! I hope my server can handle the load! But it's a good test. Thanks for reading :)

Hello everyone,

First, thank you for your comments.

Various additions have been made to the tool:

- Added a help page to better understand its use

- Feedback/comments/contact form

And soon, the multimodal evolution: Text files, but especially audio files, which will also be added to your vector data to further enrich your data.

See you soon

Hi everyone,

I’ve been working on a small side project that’s now in beta – it's a tool designed to help you manage and explore your documents with a mix of semantic search and AI.

🔍 What it does:

Upload your own documents (text, PDF, etc.)

Search using a hybrid method (semantic + keyword)

Get summaries or answers powered by AI (LLMs)

⚡ Example use cases:

Internal documentation search

FAQ systems or support content

Personal or team knowledge bases

If you're curious or want to try it out, here’s the direct link:

👉 https://deepermind.ai

I’m looking for honest feedback – bugs, suggestions, anything.

Thanks a lot to anyone who gives it a try 🙌