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65 lines
2.8 KiB
Markdown
65 lines
2.8 KiB
Markdown
---
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title: Cheshire Cat
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weight: 600
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aliases: [ ../integrations/cheshire-cat/ ]
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---
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# Cheshire Cat
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[Cheshire Cat](https://cheshirecat.ai/) is an open-source framework that allows you to develop intelligent agents on top of many Large Language Models (LLM). You can develop your custom AI architecture to assist you in a wide range of tasks.
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## Cheshire Cat and Qdrant
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Cheshire Cat uses Qdrant as the default [Vector Memory](https://cheshire-cat-ai.github.io/docs/conceptual/memory/vector_memory/) for ingesting and retrieving documents.
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```
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# Decide host and port for your Cat. Default will be localhost:1865
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CORE_HOST=localhost
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CORE_PORT=1865
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# Qdrant server
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# QDRANT_HOST=localhost
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# QDRANT_PORT=6333
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```
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Cheshire Cat takes great advantage of the following features of Qdrant:
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* [Collection Aliases](../../concepts/collections/#collection-aliases) to manage the change from one embedder to another.
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* [Quantization](../../guides/quantization/) to obtain a good balance between speed, memory usage and quality of the results.
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* [Snapshots](../../concepts/snapshots/) to not miss any information.
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* [Community](https://discord.com/invite/tdtYvXjC4h)
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## How to use the Cheshire Cat
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### Requirements
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To run the Cheshire Cat, you need to have [Docker](https://docs.docker.com/engine/install/) and [docker-compose](https://docs.docker.com/compose/install/) already installed on your system.
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```shell
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docker run --rm -it -p 1865:80 ghcr.io/cheshire-cat-ai/core:latest
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```
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* Chat with the Cheshire Cat on [localhost:1865/admin](http://localhost:1865/admin).
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* You can also interact via REST API and try out the endpoints on [localhost:1865/docs](http://localhost:1865/docs)
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Check the [instructions on github](https://github.com/cheshire-cat-ai/core/blob/main/README.md) for a more comprehensive quick start.
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### First configuration of the LLM
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* Open the Admin Portal in your browser at [localhost:1865/admin](http://localhost:1865/admin).
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* Configure the LLM in the `Settings` tab.
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* If you don't explicitly choose it using `Settings` tab, the Embedder follows the LLM.
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## Next steps
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For more information, refer to the Cheshire Cat [documentation](https://cheshire-cat-ai.github.io/docs/) and [blog](https://cheshirecat.ai/blog/).
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* [Getting started](https://cheshirecat.ai/hello-world/)
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* [How the Cat works](https://cheshirecat.ai/how-the-cat-works/)
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* [Write Your First Plugin](https://cheshirecat.ai/write-your-first-plugin/)
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* [Cheshire Cat's use of Qdrant - Vector Space](https://cheshirecat.ai/dont-get-lost-in-vector-space/)
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* [Cheshire Cat's use of Qdrant - Aliases](https://cheshirecat.ai/the-drunken-cat-effect/)
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* [Discord Community](https://discord.com/invite/bHX5sNFCYU)
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