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README.md
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README.md
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@ -47,7 +47,8 @@ recall and state-based reasoning for both assistants and agents.
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Graphiti powers the core of [Zep's memory layer](https://www.getzep.com) for LLM-powered Assistants and Agents.
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Graphiti powers the core of [Zep's memory layer](https://www.getzep.com) for LLM-powered Assistants and Agents.
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Using Graphiti, we've demonstrated Zep is the [State of the Art in Agent Memory](https://blog.getzep.com/state-of-the-art-agent-memory/).
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Using Graphiti, we've demonstrated Zep is
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the [State of the Art in Agent Memory](https://blog.getzep.com/state-of-the-art-agent-memory/).
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Read our paper: [Zep: A Temporal Knowledge Graph Architecture for Agent Memory](https://arxiv.org/abs/2501.13956).
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Read our paper: [Zep: A Temporal Knowledge Graph Architecture for Agent Memory](https://arxiv.org/abs/2501.13956).
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@ -86,7 +87,7 @@ scale:
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Requirements:
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Requirements:
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- Python 3.10 or higher
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- Python 3.10 or higher
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- Neo4j 5.21 or higher
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- Neo4j 5.26 or higher
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- OpenAI API key (for LLM inference and embedding)
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- OpenAI API key (for LLM inference and embedding)
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Optional:
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Optional:
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@ -111,7 +112,8 @@ poetry add graphiti-core
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> [!IMPORTANT]
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> [!IMPORTANT]
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> Graphiti uses OpenAI for LLM inference and embedding. Ensure that an `OPENAI_API_KEY` is set in your environment.
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> Graphiti uses OpenAI for LLM inference and embedding. Ensure that an `OPENAI_API_KEY` is set in your environment.
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> Support for Anthropic and Groq LLM inferences is available, too. Other LLM providers may be supported via OpenAI compatible APIs.
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> Support for Anthropic and Groq LLM inferences is available, too. Other LLM providers may be supported via OpenAI
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> compatible APIs.
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```python
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```python
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from graphiti_core import Graphiti
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from graphiti_core import Graphiti
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@ -203,8 +205,8 @@ as such this feature is off by default.
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Graphiti is under active development. We aim to maintain API stability while working on:
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Graphiti is under active development. We aim to maintain API stability while working on:
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- [ ] Supporting custom graph schemas:
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- [ ] Supporting custom graph schemas:
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- Allow developers to provide their own defined node and edge classes when ingesting episodes
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- Allow developers to provide their own defined node and edge classes when ingesting episodes
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- Enable more flexible knowledge representation tailored to specific use cases
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- Enable more flexible knowledge representation tailored to specific use cases
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- [x] Enhancing retrieval capabilities with more robust and configurable options
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- [x] Enhancing retrieval capabilities with more robust and configurable options
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- [ ] Expanding test coverage to ensure reliability and catch edge cases
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- [ ] Expanding test coverage to ensure reliability and catch edge cases
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