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Supplemental Documentation
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yarn.lock |
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# Faiss | ||
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## 介绍 | ||
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Faiss 是一个由 Meta 的基础人工智能研究小组开发,用于高效相似性搜索和稠密向量聚类的库。它包含可以在任何大小的向量集合中进行搜索的算法,甚至可以处理可能无法完全放入 RAM 的数据集。该库还包含用于评估和参数调优的辅助代码。Faiss 使用 C++ 编写,并为 Python/numpy 提供了完整的封装。 | ||
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## 安装 | ||
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前往插件市场,搜索并安装`chatluna-vector-store-service`即可。Faiss 数据库的依赖`faiss-node`已标记为该插件的依赖,您无需在安装后进行其他的操作。 | ||
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## 配置 | ||
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在配置之前,您需要确保安装 ChatLuna 与`chatluna-vector-store-service`,并确保该插件已经启用。然后在 ChatLuna 的 [模型选项](../useful-configurations.md#模型选项) 中找到 [defaultVectorStore](../useful-configurations.md#defaultvectorstore) 配置项,并选择数据库为`faiss`即可。 |
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# 向量数据库 | ||
# 向量数据库 | ||
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## 介绍 | ||
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向量数据库是一种专门用于存储、检索和管理高维向量数据的数据库。在 ChatLuna 中用于存储长期记忆。 | ||
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## 支持的数据库 | ||
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- [Faiss](./faiss.md) | ||
- [Redis](./redis.md) | ||
- [LanceDB](./lancedb.md) |
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# Redis |
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