Open source document search for LLMs
One API for storage, search, and orchestration.
State-of-the-Art Accuracy
Our evaluation framework tests RAG systems on challenging document analysis tasks requiring complex and multi-step reasoning, and understanding
Benchmark Performance
43 out of 45 questions correct
SOTA OCR + Layout Detection + LangChain
6 out of 45 questions correct
Morphik outperforms traditional RAG pipelines by 43% and GPT-4 by 7x
What We Evaluate
Complex Document Understanding
Multi-page analysis and cross-reference resolution
Visual Data Extraction
Charts, diagrams, and complex layouts
Multi-Step Reasoning
Synthesis and inference across documents
Numerical Computation
Accurate calculations and metric derivations
Open Source Evaluation
Test your own RAG system
Evaluation performed on July 8, 2025 using questions from TLDC (The LLM Data Company)
What Our Users Say
We looked at a number of knowledge base and RAG solutions, and Morphik's approach is light years ahead of everyone else
Morphik has the most driven team we've worked with in a while. It's great to explore this new domain with you guys!
Thank you!!! This is such amazing work [...] plain RAG is so terrible unless we get quants involved to tune the embeddings. This is so much more elegant.
Why Morphik?
Our search consistently outperforms other providers while being faster and cheaper to deploy. We excel at technical and domain-specific search. Morphik connects with any data source and ingests your knowledge in its native format - meaning perfect search over complex diagrams, schematics, and datasheets. We benefit heavily from open-source: if you need a feature, open an issue or - better yet - submit a PR!
Visual-first Retrieval
Knowledge Graphs
Integrations
OSS & On-prem
Diagram Intelligence
Morphik directly embeds each page in your input into it's store, meaning no context is lost to imperfect parsing or processing techniques.
See Morphik with 4o-mini beat gpt-o3