VDB之Chroma：Chroma/chromadb(一款优秀的向量数据库)的简介、安装、使用方法之详细攻略
目录
相关文章
DB之VDB：向量数据库（Vector Database）的简介、常用库、使用方法之详细攻略
chroma的简介
chroma的安装
chroma的使用方法
1、基础用法
相关文章
DB之VDB：向量数据库（Vector Database）的简介、常用库、使用方法之详细攻略
https://yunyaniu.blog.csdn.net/article/details/129106195
chroma的简介
2023年4月，Chroma获得1800万美元种子轮融资，除了机构投资者外，Chroma还获得了MongoDB、Scale、Hugging Face、Jasper等公司创始人或高管的投资，受到了整个生成式AI生态的欢迎。
Chroma是一个基于向量检索库实现的轻量级向量数据库，内置了入门所需的一切，并提供了简单的API。它目前只支持CPU计算，但可以利用乘积量化的方法，将一个向量的维度切成多段，每段分别进行k-means，从而减少存储空间和提高检索效率。它还可以与LangChain集成，实现基于语言模型的应用。
2023年6月正式发布Chroma，Chroma是一款AI 原生的开源嵌入数据库。Chroma 是一个开源的嵌入数据库。Chroma通过使知识、事实和技能可以插拔到 LLM（语言模型）中，从而使构建 LLM 应用变得简单。
Chroma 为您提供以下工具：存储嵌入及其元数据、嵌入文档和查询、搜索嵌入。Chroma 的优势在于简洁性和开发者生产力、在搜索之上的分析、它同时也非常快速。Chroma 包括 Python 客户端 SDK、JavaScript/TypeScript 客户端 SDK 和一个服务器应用程序。
在 Python 中，Chroma 可以在内存中运行，也可以在客户端/服务器（尚处于 alpha 阶段）模式下运行。在 JavaScript 中，Chroma 在客户端/服务器模式下运行，并与 Python 后端进行通信。
特点如下所示：
>> 轻松生成嵌入：Chroma 拥有您使用嵌入所需的所有工具
>> 简单易用：就像 pip install 一样，在笔记本中 5 秒内使用
>> 丰富的功能：搜索、过滤等等
>> 集成：直接插入 LangChain、LlamaIndex、OpenAI 等
>> JavaScript 客户端
>> 免费：Apache 2.0 开源许可
Chroma的优点是易用、轻量、智能，缺点是功能相对简单、不支持GPU加速。后续 Chroma 还会推出托管产品（Serverless 类产品），该产品将提供无服务器存储和检索功能，支持向上和向下扩展，让开发者开箱即用不需要自己搭建基础设施。
官网：Chroma
文档：🏡 Home | Chroma文章来源：https://www.toymoban.com/news/detail-737209.html
GitHub：https://github.com/chroma-core/chroma文章来源地址https://www.toymoban.com/news/detail-737209.html
chroma的安装
pip install chromadb
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple chromadb
npm install --save chromadb # 或者 yarn add chromadbC:\Windows\system32>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple chromadb
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
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Successfully installed anyio-3.7.1 backoff-2.2.1 bcrypt-4.0.1 chroma-hnswlib-0.7.3 chromadb-0.4.14 exceptiongroup-1.1.3 fastapi-0.104.0 grpcio-1.59.0 h11-0.14.0 httptools-0.6.1 importlib-resources-6.1.0 numpy-1.26.1 overrides-7.4.0 posthog-3.0.2 pulsar-client-3.3.0 pypika-0.48.9 python-dotenv-1.0.0 requests-2.31.0 starlette-0.27.0 tqdm-4.66.1 typer-0.9.0 uvicorn-0.23.2 watchfiles-0.21.0 websockets-11.0.3chroma的使用方法
1、基础用法
import chromadb
# setup Chroma in-memory, for easy prototyping. Can add persistence easily!
client = chromadb.Client()
# Create collection. get_collection, get_or_create_collection, delete_collection also available!
collection = client.create_collection("all-my-documents")
# Add docs to the collection. Can also update and delete. Row-based API coming soon!
collection.add(
documents=["This is document1", "This is document2"], # we handle tokenization, embedding, and indexing automatically. You can skip that and add your own embeddings as well
metadatas=[{"source": "notion"}, {"source": "google-docs"}], # filter on these!
ids=["doc1", "doc2"], # unique for each doc
)
# Query/search 2 most similar results. You can also .get by id
results = collection.query(
query_texts=["This is a query document"],
n_results=2,
# where={"metadata_field": "is_equal_to_this"}, # optional filter
# where_document={"$contains":"search_string"} # optional filter
)到了这里，关于VDB之Chroma：Chroma/chromadb(一款优秀的向量数据库)的简介、安装、使用方法之详细攻略的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！
