diff --git a/README.md b/README.md index 57e54f7f8..d9eb9d58d 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -

Prepare unstructured data for AI Agents

+

Build AI Agent Memory from Real-World Documents

@@ -31,12 +31,12 @@ ## 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.** @@ -254,7 +254,7 @@ If you use Knowhere in your research, please cite it as: ```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},