Update README.md w/ spacing (#56)
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README.md
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README.md
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@ -34,6 +34,8 @@ With graphiti, you can build LLM applications such as:
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graphiti supports a wide range of applications in sales, customer service, health, finance, and more, enabling long-term recall and state-based reasoning for both assistants and agents.
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<br />
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## Why graphiti?
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graphiti is designed for dynamic data and agentic use:
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@ -45,12 +47,16 @@ graphiti is designed for dynamic data and agentic use:
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- **Fast**: Search results in < 100ms, with latency primarily determined by the 3rd-party embedding API call.
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- **Schema Consistency**: Maintains a coherent graph structure by reusing existing schema, preventing unnecessary proliferation of node and edge types.
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<br />
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## graphiti and Zep Memory
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graphiti powers the core of Zep's next-generation memory layer for LLM-powered Assistants and Agents.
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We're excited to open-source graphiti, believing its potential reaches far beyond memory applications.
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<br />
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## Installation
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Requirements:
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@ -72,6 +78,8 @@ or
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`poetry add graphiti-core`
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<br />
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## Quick Start
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> [!IMPORTANT]
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@ -136,6 +144,8 @@ await client.search('Who was the California Attorney General?', center_node_uuid
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graphiti.close()
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```
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<br />
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## Documentation
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### Adding Episodes
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@ -340,6 +350,8 @@ print_facts(results)
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> The Allbirds Wool Runners are sold by Allbirds.
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```
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<br />
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## Status and Roadmap
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graphiti is under active development. We aim to maintain API stability while working on:
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@ -354,6 +366,7 @@ graphiti is under active development. We aim to maintain API stability while wor
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- [ ] 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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<br />
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## Contributing
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