Update README.md (#59)

This commit is contained in:
Daniel Chalef
2024-08-27 12:06:13 -07:00
committed by GitHub
parent 9591c78bbb
commit 7aa5cea7da

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@@ -34,8 +34,6 @@ 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:
@@ -47,7 +45,6 @@ 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
@@ -55,7 +52,7 @@ graphiti powers the core of [Zep's memory layer](https://www.getzep.com) for LLM
We're excited to open-source graphiti, believing its potential reaches far beyond memory applications.
<br />
## Installation
@@ -78,7 +75,7 @@ or
`poetry add graphiti-core`
<br />
## Quick Start
@@ -144,7 +141,7 @@ await client.search('Who was the California Attorney General?', center_node_uuid
graphiti.close()
```
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## Documentation
@@ -350,7 +347,6 @@ print_facts(results)
> The Allbirds Wool Runners are sold by Allbirds.
```
<br />
## Status and Roadmap
@@ -366,7 +362,6 @@ 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