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Update README.md w/ spacing #56

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13 changes: 13 additions & 0 deletions README.md
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Expand Up @@ -34,6 +34,8 @@ With graphiti, you can build LLM applications such as:

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.

<br />

## Why graphiti?

graphiti is designed for dynamic data and agentic use:
Expand All @@ -45,12 +47,16 @@ graphiti is designed for dynamic data and agentic use:
- **Fast**: Search results in < 100ms, with latency primarily determined by the 3rd-party embedding API call.
- **Schema Consistency**: Maintains a coherent graph structure by reusing existing schema, preventing unnecessary proliferation of node and edge types.

<br />

## graphiti and Zep Memory

graphiti powers the core of Zep's next-generation memory layer for LLM-powered Assistants and Agents.

We're excited to open-source graphiti, believing its potential reaches far beyond memory applications.

<br />

## Installation

Requirements:
Expand All @@ -72,6 +78,8 @@ or

`poetry add graphiti-core`

<br />

## Quick Start

> [!IMPORTANT]
Expand Down Expand Up @@ -136,6 +144,8 @@ await client.search('Who was the California Attorney General?', center_node_uuid
graphiti.close()
```

<br />

## Documentation

### Adding Episodes
Expand Down Expand Up @@ -340,6 +350,8 @@ print_facts(results)
> The Allbirds Wool Runners are sold by Allbirds.
```

<br />

## Status and Roadmap

graphiti is under active development. We aim to maintain API stability while working on:
Expand All @@ -354,6 +366,7 @@ graphiti is under active development. We aim to maintain API stability while wor
- [ ] Enhancing retrieval capabilities with more robust and configurable options
- [ ] Expanding test coverage to ensure reliability and catch edge cases

<br />

## Contributing

Expand Down