sagar-co

Scanned documents contain vital information. More often than not these documents are not searchable and if they are then a lot of information remains missing.

We built OCR search to showcase how you can extract data from scanned documents and make data within searchable.

A lot of new possibilties get unlocked with this information. For example, you can build AI CoPilot, RAG pipelines or power search within your application.

This is really interesting.

We build multimodal search engine on day-to-day basis. We recently launched video documents search engine. I made a Show HN [0] post about ingesting Mutual Fund Risk/Return summary data (485BPOS, 497) and searching it with AI search. We are able to pinpoint to exact term on given page. It is fairly easy for us to ingest 10K, 10Q, 8K and other forms.

You can try out demo for finance-application at https://finance-demo.joyspace.ai.

Our search engine can be used to build RAG pipelines that further minimizes hallucinations for your LLM model.

Happy to answer any questions around this and around search engine.

[0]https://news.ycombinator.com/item?id=39980902

Hi @rmdes, Sagar here from Joyspace AI. I recently made a Show HN post[0] around documents search engine.

We can do this very easily for you. We can provide Search output with context that you can further feed to an LLM for processing to extract events. Let me know if you are interested.

You can get in touch with me at sagar at joyspace dot ai.

[0] https://news.ycombinator.com/item?id=39980902

Hi there, I am a co-founder of Joyspace.ai. If you have any questions/comments, feel free to contact me.