Revolutionizing SEC Document Analysis 🚀 Built by LlamaIndex ( https://www.llamaindex.ai/ )
SEC Insights uses the Retrieval Augmented Generation (RAG) capabilities of LlamaIndex to answer questions about SEC 10-K & 10-Q documents.
This project has been open-sourced on Github so you can kickstart your own RAG projects!
https://github.com/run-llama/sec-insights/
Wow it’s great product and I am very glad to see that there are a lot of upvotes here:)
I clicked Notify me before because I liked this product and idea. And now I click upvote, because I can try it! Congrats, team!
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Amazing idea, easy to use, but tried one document which doesn't have explicit "forward-looking outlook" information, so AI the weren't able to provide anything about that, so more advanced AI that would research and provide some conclusions would be superior. Still, kudos!
@andrew_philip1 Thanks for the question Andrew! The documents we are currently supporting the analysis of are reported on a quarterly and yearly basis. So any regulatory or macro-level changes would only be reflected once those changes are discussed in upcoming 10-Q and 10-K reports. Open to feedback on other SEC document types you'd like to see us support!
@mrbala_subramaniam Great question Bala! Our data agent responds to your question by extracting the pieces of texts in the document that are most relevant to your question. So the amount of actionable signal you get in the responses are very dependent on the question you are asking!
🚀 Exciting Breakthrough! 📊 SEC Insights AI looks set to transform SEC document analysis. Automation and AI-driven insights could be a game-changer for financial professionals. Kudos to the team behind this innovation! 👏👏
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