DeeperMind.ai - AI-powered semantic search for your documents
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DeeperMind.ai helps you explore, search, and summarize your own documents using a combination of semantic search and generative AI. Ideal for personal knowledge bases, internal docs, or smart FAQ systems.
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Finally cracked large-scale semantic chunking — and the answer precision is 🔥
Hey 👋
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!