Morphik is an open source AI-native knowledge base. Knowledge workers spend so much time in the research phase, Morphik is the research agent over complex data that allows them to save time. Think perplexity for enterprise data, and open source!
Hey PH! I’m Adi, building Morphik with my co-founder Arnav.
We started Morphik after seeing enterprises, engineers, and researchers constantly waste time just finding the right document or diagram before they could even begin real work. Morphik helps solve that by letting you build powerful internal knowledge bases especially for complex, visual-heavy documents like research papers, and infographics.
Instead of relying on keyword search, we index and search over actual visual patches (not just text), which makes it far better for technical documents, and others in general. We then pass the results to LLMs for reasoning. Our system achieves 93%+ accuracy on the arXiv QA benchmark, and scales to millions of documents.
You can use Morphik directly or via our API to build your own RAG apps or internal search tools. It's already being used for:
Research teams searching across scientific PDFs and datasets.
Legal teams building patent and invention disclosure search.
Health tech teams building knowledge bases for doctors.
Developers building for brokerages managing contracts and bills.
Aerospace teams working with research papers, and complex CAD diagrams.
We also support Google Drive today, with more connectors coming soon.
Would love to hear your thoughts or help your team try it out: reach us at [email protected].
Super cool product team. Love the impact on AI understanding our complex docs!
Congrats on the launch, Adi and Arnav! 🎉 Morphik sounds like a game-changer for handling complex documents across industries. Love the idea of visual patch indexing truly innovative. Can't wait to see how it transforms knowledge management. Wishing you all the best! 🚀
I love that Morphik's focus is on visual search of these complex documents. It is such a struggle to extract insights from PDFs and for some reason, we all use a ton of PDFs. This is awesome.
This looks very promising! Could I use it to build a knowledge graph of a large codebase?
This is so cool! We’re heavy Morphik users. We dumped our entire code into it and the graph it created was super helpful in visualising the relationships between different entities
The accuracy on the arXiv QA benchmark is really impressive. I can see how this would save significant time for research teams, legal teams, and even healthcare professionals. How flexible is the API for integrating Morphik into existing enterprise workflows?
The design of the visualizer is really stunning💀💀
It'll make the whole team collaborate effeciently like a one smart person.
Congratulations :)
Morphik stands out by turning complex enterprise data into an accessible, AI-powered research assistant.
This is seriously impressive, visual-based search for technical and research-heavy documents feels like a game changer, especially for fields like legal, aerospace, and health tech. The 93%+ accuracy on arXiv QA is no joke. However, one concern is how Morphik handles proprietary or sensitive documents connected through platforms like Google Drive. What steps are in place to ensure data privacy and security at scale?
Hey PH! I’m Adi, building Morphik with my co-founder Arnav.
We started Morphik after seeing enterprises, engineers, and researchers constantly waste time just finding the right document or diagram before they could even begin real work. Morphik helps solve that by letting you build powerful internal knowledge bases especially for complex, visual-heavy documents like research papers, and infographics.
Instead of relying on keyword search, we index and search over actual visual patches (not just text), which makes it far better for technical documents, and others in general. We then pass the results to LLMs for reasoning. Our system achieves 93%+ accuracy on the arXiv QA benchmark, and scales to millions of documents.
You can use Morphik directly or via our API to build your own RAG apps or internal search tools. It's already being used for:
Research teams searching across scientific PDFs and datasets.
Legal teams building patent and invention disclosure search.
Health tech teams building knowledge bases for doctors.
Developers building for brokerages managing contracts and bills.
Aerospace teams working with research papers, and complex CAD diagrams.
We also support Google Drive today, with more connectors coming soon.
Would love to hear your thoughts or help your team try it out: reach us at [email protected].