Astra 数据库
¥Astra DB
仅在 Node.js 上可用。
¥Only available on Node.js.
DataStax Astra 数据库 是一个基于 Apache Cassandra 构建的无服务器向量数据库,可通过易于使用的 JSON API 轻松访问。
¥DataStax Astra DB is a serverless vector-capable database built on Apache Cassandra and made conveniently available through an easy-to-use JSON API.
设置
¥Setup
创建一个 Astra DB 账户。
¥Create an Astra DB account.
创建一个 支持向量的数据库。
¥Create a vector enabled database.
从数据库详细信息中获取你的
API Endpoint
和Token
。¥Grab your
API Endpoint
andToken
from the Database Details.设置以下环境变量:
¥Set up the following env vars:
export ASTRA_DB_APPLICATION_TOKEN=YOUR_ASTRA_DB_APPLICATION_TOKEN_HERE
export ASTRA_DB_ENDPOINT=YOUR_ASTRA_DB_ENDPOINT_HERE
export ASTRA_DB_COLLECTION=YOUR_ASTRA_DB_COLLECTION_HERE
export OPENAI_API_KEY=YOUR_OPENAI_API_KEY_HERE
其中 ASTRA_DB_COLLECTION
是你想要的集合名称
¥Where ASTRA_DB_COLLECTION
is the desired name of your collection
安装 Astra TS 客户端和 LangChain 社区包
¥Install the Astra TS Client & the LangChain community package
- npm
- Yarn
- pnpm
npm install @langchain/openai @datastax/astra-db-ts @langchain/community @langchain/core
yarn add @langchain/openai @datastax/astra-db-ts @langchain/community @langchain/core
pnpm add @langchain/openai @datastax/astra-db-ts @langchain/community @langchain/core
索引文档
¥Indexing docs
import { OpenAIEmbeddings } from "@langchain/openai";
import {
AstraDBVectorStore,
AstraLibArgs,
} from "@langchain/community/vectorstores/astradb";
const astraConfig: AstraLibArgs = {
token: process.env.ASTRA_DB_APPLICATION_TOKEN as string,
endpoint: process.env.ASTRA_DB_ENDPOINT as string,
collection: process.env.ASTRA_DB_COLLECTION ?? "langchain_test",
collectionOptions: {
vector: {
dimension: 1536,
metric: "cosine",
},
},
};
const vectorStore = await AstraDBVectorStore.fromTexts(
[
"AstraDB is built on Apache Cassandra",
"AstraDB is a NoSQL DB",
"AstraDB supports vector search",
],
[{ foo: "foo" }, { foo: "bar" }, { foo: "baz" }],
new OpenAIEmbeddings(),
astraConfig
);
// Querying docs:
const results = await vectorStore.similaritySearch("Cassandra", 1);
// or filtered query:
const filteredQueryResults = await vectorStore.similaritySearch("A", 1, {
foo: "bar",
});
API Reference:
- OpenAIEmbeddings from
@langchain/openai
- AstraDBVectorStore from
@langchain/community/vectorstores/astradb
- AstraLibArgs from
@langchain/community/vectorstores/astradb
向量类型
¥Vector Types
Astra DB 支持 cosine
(默认)、dot_product
和 euclidean
相似性搜索;这在向量存储首次创建时作为 CreateCollectionOptions
的一部分进行定义:
¥Astra DB supports cosine
(the default), dot_product
, and euclidean
similarity search; this is defined when the
vector store is first created as part of the CreateCollectionOptions
:
vector: {
dimension: number;
metric?: "cosine" | "euclidean" | "dot_product";
};
相关
¥Related
向量存储 概念指南
¥Vector store conceptual guide
向量存储 操作指南
¥Vector store how-to guides