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Morphik launches open-source RAG for multimodal PDFs, runs locally

Morphik has launched an open-source Retrieval-Augmented Generation (RAG) system designed for developers to integrate complex context into AI applications. The system aims to simplify the process by offering a unified solution for storing, representing, and searching unstructured and multimodal data, addressing the limitations of traditional RAG pipelines that struggle with visually rich documents. Morphik provides features like multimodal search, fast metadata extraction, and integrations with tools such as Google Suite and Slack, with a free tier available for users. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Simplifies multimodal data integration for AI applications, potentially reducing development complexity and infrastructure costs.

RANK_REASON This is a product launch for an AI developer tool, not a frontier model release or significant industry event.

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  1. HN — AI startup stories TIER_1 · Adityav369 ·

    Show HN: Morphik – Open-source RAG that understands PDF images, runs locally