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EricNGOntos merged 1 commit into from
May 14, 2026
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docs: refine README headline, intro and TIP copy #74

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10 changes: 5 additions & 5 deletions README.md
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Original file line number Diff line number Diff line change
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<h1 align="center">Prepare unstructured data for AI Agents</h1>
<h1 align="center">Build AI Agent Memory from Real-World Documents</h1>

<p align="center">
<a href="https://www.python.org/downloads/">
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## What We Are

**We're not building the next document parser — we're building document memory infrastructure that agents can actually consume.**
**We're not developing the next MinerU, instead, we're building document memory infrastructure that agents can effectively consume.**

Knowhere is the open-source infrastructure that turns unstructured documents into persistent, navigable memory for AI agents. It automates the full pipeline — parsing, hierarchy extraction, multi-modal structuring, and graph construction — so your agents get structured, high-quality context optimized for *Agentic RAG*, *traditional vector-based RAG*, and *any LLM-powered workflow*.
Knowhere turns unstructured documents into persistent, navigable memory for AI agents. It handles parsing, hierarchy extraction, multi-modal structuring, and graph construction, giving your agents structured, high-quality context for *Agentic RAG*, *traditional RAG*, or any LLM workflow.

> [!TIP]
> Knowhere stands on the shoulders of excellent open-source parsers (MinerU, Docling, Marker, and others) — and actively improves upon them. We contribute **memory-oriented parsing optimizations** that fix real-world deficiencies in existing tools, and we're pursuing **agentic parsing** to push accuracy even further. Beyond parsing, Knowhere focuses on what turns raw extraction into usable agent memory: **reconstructing hierarchical structure**, **extracting and normalizing multi-modal assets**, **building navigable cross-document graphs**, and **persisting it all as long-term, citable memory** that AI agents can search, navigate, and reason over.
> Knowhere builds on top of well-known parsers like MinerU, Docling, and Marker, and actively improves upon them with **memory-oriented parsing optimizations** and upcoming **agentic parsing**. On top of that, it **reconstructs hierarchical structure**, **normalizes multi-modal assets**, **builds cross-document graphs**, and **persists everything as long-term, citable memory** that agents can search, navigate, and reason over.

> [!NOTE]
> **Get started in seconds with Knowhere Cloud.**
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```bibtex
@software{knowhere2026,
author = {Ontos AI},
title = {Knowhere: Prepare Unstructured Data for AI Agents},
title = {Knowhere: Build AI Agent Memory from Real-World Documents},
year = {2026},
publisher = {GitHub},
url = {https://github.com/Ontos-AI/knowhere},
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