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EricNGOntos merged 2 commits into from
May 15, 2026
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docs: reposition product positioning statement to after benchmark chart #85

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docs: move positioning statement to after benchmark chart
EricNGOntos May 15, 2026
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docs: refine What We Are text
EricNGOntos May 15, 2026
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -33,9 +33,7 @@

## What We Are

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

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.
Knowhere turns unstructured documents into persistent, navigable memory for AI agents. It handles parsing, hierarchy identification, multi-modal extraction and labeling, and graph construction, giving your agents structured, high-quality context for information retrieval or any LLM workflow.

> [!TIP]
> Knowhere stands on the shoulders of giants like MinerU and Pymupdf. We take their output, optimize it, and then build **hierarchical structure** and **multi-modal cross-document graphs** on top. The result is a persistent, citable memory layer purpose-built for agent consumption.
Expand Down Expand Up @@ -85,6 +83,8 @@ Knowhere enhances the accuracy of AI agents when performing tasks (e.g., searchi
<img alt="Benchmark Performance: Agent + Knowhere vs Others" src="docs/assets/benchmark.png" width="900">
</p>

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

### Key Advantages

- **Superior Accuracy**: Knowhere drastically improves both **First-time Accuracy** (+36% over raw docs) and **Recall** (+10%), ensuring agents find the right evidence faster.
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