Update README.md w/ spacing (#56)

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Daniel Chalef 2024-08-27 11:02:50 -07:00 committed by GitHub
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@ -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:
@ -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:
@ -72,6 +78,8 @@ or
`poetry add graphiti-core`
<br />
## Quick Start
> [!IMPORTANT]
@ -136,6 +144,8 @@ await client.search('Who was the California Attorney General?', center_node_uuid
graphiti.close()
```
<br />
## Documentation
### Adding Episodes
@ -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:
@ -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