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    <title>knowledge-graph</title>
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    <updated>2026-04-19T07:55:38+00:00</updated>
    <id>https://links.biapy.com/guest/tags/567/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12318</id>
            <title type="text"><![CDATA[Understand Anything]]></title>
            <link rel="alternate" href="https://lum.is-a.dev/Understand-Anything/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12318"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand Any Codebase.

Turn 200,000 lines of code into an interactive knowledge graph you can explore, search, and learn from — powered by multi-agent AI analysis. 

 Claude Code skills that turn any codebase into an interactive knowledge graph you can explore, search, and ask questions about (Multi-platform e.g., Codex are supported). 

- [Understand Anything @ GitHub](https://github.com/Lum1104/Understand-Anything).]]>
            </summary>
            <updated>2026-03-28T08:13:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11901</id>
            <title type="text"><![CDATA[GitNexus]]></title>
            <link rel="alternate" href="https://gitnexus.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11901"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration 

- [GitNexus @ GitHub](https://github.com/abhigyanpatwari/GitNexus).]]>
            </summary>
            <updated>2026-02-23T12:55:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/406</id>
            <title type="text"><![CDATA[Graphiti]]></title>
            <link rel="alternate" href="https://help.getzep.com/graphiti/getting-started/welcome" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/406"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Real-Time Knowledge Graphs for AI Agents.

Graphiti is a Python framework for building temporally-aware knowledge graphs designed for AI agents. It enables real-time incremental updates to knowledge graphs without batch recomputation, making it suitable for dynamic environments where relationships and information evolve over time.

- [Graphiti @ GitHub](https://github.com/getzep/graphiti).]]>
            </summary>
            <updated>2026-02-12T12:59:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2722</id>
            <title type="text"><![CDATA[TiDB]]></title>
            <link rel="alternate" href="https://tidb.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2722"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Assistant. Knowledge Graph based RAG built with TiDB Serverless Vector Storage and LlamaIndex.

An open source GraphRAG (Knowledge Graph) built on top of TiDB Vector and LlamaIndex and DSPy.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage.

- [autoflow @ GitHub](https://github.com/pingcap/autoflow).]]>
            </summary>
            <updated>2025-08-28T23:30:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3719</id>
            <title type="text"><![CDATA[GraphRAG]]></title>
            <link rel="alternate" href="https://microsoft.github.io/graphrag/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3719"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.

GraphRAG is a structured, hierarchical approach to Retrieval Augmented Generation (RAG), as opposed to naive semantic-search approaches using plain text snippets. The GraphRAG process involves extracting a knowledge graph out of raw text, building a community hierarchy, generating summaries for these communities, and then leveraging these structures when perform RAG-based tasks.

- [GraphRAG @ GitHub](https://github.com/microsoft/graphrag).
- [GraphRAG: Microsoft’s Open-Source Solution for Enhanced Document Understanding @ Towards AI&amp;#039;s Medium](https://pub.towardsai.net/graphrag-microsofts-open-source-solution-for-enhanced-document-understanding-b42d05f5fec5).]]>
            </summary>
            <updated>2025-08-29T02:17:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3720</id>
            <title type="text"><![CDATA[SurfSense]]></title>
            <link rel="alternate" href="https://www.surfsense.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3720"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Knowledge Graph Brain for World Wide Web Surfers.
A Customizable AI Research Agent just like NotebookLM or Perplexity, but connected to external sources such as search engines (Tavily, LinkUp), Slack, Linear, Notion, YouTube, GitHub and more.

SurfSense is like a Knowledge Graph Brain 🧠 for anything you see (Social Media Chats, Calender Invites, Important Mails, Tutorials, Recipies and anything ) on the World Wide Web.

- [SurfSense @ GitHub](https://github.com/MODSetter/SurfSense).]]>
            </summary>
            <updated>2025-08-29T02:17:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7709</id>
            <title type="text"><![CDATA[Cayley]]></title>
            <link rel="alternate" href="https://github.com/google/cayley" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7709"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cayley is an open-source graph inspired by the graph database behind Freebase and Google&amp;#039;s Knowledge Graph.

Its goal is to be a part of the developer&amp;#039;s toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.]]>
            </summary>
            <updated>2025-08-29T13:23:20+00:00</updated>
        </entry>
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