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#1414th of 15 in RAG and knowledge

Morphik

Multimodal retrieval engine for visually rich PDFs, images and video

Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
Stars
3.7k
License
custom license
Last commit
Oct 2026

Overview

Morphik Core is a retrieval engine for visually rich documents: it embeds page images with ColPali so charts, tables and diagrams are searchable through one endpoint covering PDFs, images and video, and extracts metadata such as bounding boxes and labels by rules. It is used via a Python SDK, REST API, MCP or the Console web UI. Self-hosting is documented separately and offered with limited support.

Who it is for: developers needing visual document search via API

Strengths

  • ColPali retrieval over page images instead of extracted text
  • One search endpoint for images, PDFs and video
  • Rule-based metadata extraction with bounding boxes and classification
  • Python SDK, REST API and MCP access

Weaknesses

  • BSL 1.1: commercial use above US $2,000 per month revenue needs a paid key
  • Self-hosted deployments get no full support from the maintainers
  • README centers on the hosted dev.morphik.ai service, not self-hosting
  • Parent company now focuses on back-office AI workers; Core is a side product

What it needs

  • no GPU
  • Docker + Compose
  • Compose runs Redis, PostgreSQL, Ollama
  • Models: ColPali multimodal embeddings

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