From ea0bb87ff376f5cae0977af4bfcb451a4755dc8f Mon Sep 17 00:00:00 2001
From: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
Date: Tue, 27 Aug 2024 10:59:50 -0700
Subject: [PATCH] Update README.md (#55)
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## Temporal Knowledge Graphs for Agentic Applications
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[](https://discord.com/invite/W8Kw6bsgXQ)
[](https://github.com/getzep/graphiti/actions/workflows/lint.yml)
[](https://github.com/getzep/graphiti/actions/workflows/unit_tests.yml)
[](https://github.com/getzep/graphiti/actions/workflows/typecheck.yml)
[](https://codespaces.new/getzep/graphiti)
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-graphiti builds dynamic, temporally-aware knowledge graphs that represent complex, evolving relationships between entities over time. graphiti ingests both unstructured and structured data and the resulting graph may be queried using a fusion of time, full-text, semantic, and graph algorithm approaches.
+graphiti builds dynamic, temporally aware knowledge graphs that represent complex, evolving relationships between entities over time. graphiti ingests both unstructured and structured data and the resulting graph may be queried using a fusion of time, full-text, semantic, and graph algorithm approaches.
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With graphiti, you can build LLM applications such as:
- Assistants that learn from user interactions, fusing personal knowledge with dynamic data from business systems like CRMs and billing platforms.