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，Chroma/chromadb（优秀向量数据库）简介、安装及详细使用指南

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摘要：本文介绍了Chroma/chromadb这款优秀的向量数据库，提供了其简介、安装和使用方法的详细攻略。文章首先概述了Chroma的特点和优势，接着详细指导读者完成安装过程，并提供了使用方法的详细说明，帮助用户充分利用该数据库的功能。本文旨在帮助用户更好地理解和应用Chroma，提高工作效率。

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

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

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

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，Chroma/chromadb（优秀向量数据库）简介、安装及详细使用指南第1张

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

GitHub：https://github.com/chroma-core/chroma

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 chromadb

C:\Windows\system32>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple chromadb
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting chromadb
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3c/ff/ac74735884031a3b9ddf7b1abecee0885ec61660588b1e7c6862bccf5116/chromadb-0.4.14-py3-none-any.whl (448 kB)
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Collecting tqdm>=4.65.0
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Requirement already satisfied: onnxruntime>=1.14.1 in d:\programdata\anaconda3\lib\site-packages (from chromadb) (1.14.1)
Collecting chroma-hnswlib==0.7.3
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Collecting httptools>=0.5.0
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Building wheels for collected packages: pypika
  Building wheel for pypika (PEP 517) ... done
  Created wheel for pypika: filename=PyPika-0.48.9-py2.py3-none-any.whl size=53835 sha256=211a200d50e727e0f22f68bd12cee283f29544900120b047b61d3826d1424f27
  Stored in directory: c:\users386\appdata\local\pip\cache\wheelsbb716a7c87f148d258492c55fe890d051f5ca7bcf9e045e582
Successfully built pypika
Installing collected packages: exceptiongroup, h11, anyio, websockets, watchfiles, uvicorn, starlette, requests, python-dotenv, numpy, httptools, backoff, typer, tqdm, pypika, pulsar-client, posthog, overrides, importlib-resources, grpcio, fastapi, chroma-hnswlib, bcrypt, chromadb
  Attempting uninstall: anyio
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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.
daal4py 2021.5.0 requires daal==2021.4.0, which is not installed.
conda-repo-cli 1.0.4 requires pathlib, which is not installed.
anaconda-project 0.10.2 requires ruamel-yaml, which is not installed.
xarray 2023.4.2 requires pandas>=1.4, but you have pandas 1.3.5 which is incompatible.
thinc 8.1.10 requires pydantic!=1.8,!=1.8.1,=1.7.4, but you have pydantic 2.4.2 which is incompatible.
streamlit 1.24.0 requires protobuf=3.20, but you have protobuf 3.19.6 which is incompatible.
spacy 3.5.3 requires pydantic!=1.8,!=1.8.1,=1.7.4, but you have pydantic 2.4.2 which is incompatible.
spacy 3.5.3 requires typer=0.3.0, but you have typer 0.9.0 which is incompatible.
scipy 1.8.0 requires numpy=1.17.3, but you have numpy 1.26.1 which is incompatible.
onnx 1.14.0 requires protobuf>=3.20.2, but you have protobuf 3.19.6 which is incompatible.
numba 0.55.1 requires numpy=1.18, but you have numpy 1.26.1 which is incompatible.
ludwig 0.7.4 requires transformers=4.10.1, but you have transformers 4.28.1 which is incompatible.
jupyter-server 1.13.5 requires pywinpty