Morphik is an open source advanced RAG system for visually rich and technical documents. Knowledge workers and enterprises spend so much time in the research phase, morphik is the research agent over private data that allows them to save time.
Hey PH! Iām 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 founders@morphik.ai.
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?
@shahriarthm totally get that. We're open source so you can inspect every line of code. We also don't use any of your data for training, it stays yours.
Morphik
Hey PH! Iām 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 founders@morphik.ai.
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?
Morphik
@shahriarthm totally get that. We're open source so you can inspect every line of code. We also don't use any of your data for training, it stays yours.
Morphik stands out by turning complex enterprise data into an accessible, AI-powered research assistant.