@langchain/nomic
v0.1.0
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Nomic integration for LangChain.js
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@langchain/nomic
This package contains the LangChain.js integrations for Nomic via the @nomic-ai/atlas package.
Installation
npm install @langchain/nomic @langchain/core
Embeddings
This package adds support for Nomic embeddings.
Currently, they offer two embeddings models:
nomic-embed-text-v1
nomic-embed-text-v1.5
nomic-embed-text-v1.5
allows for you to customize the number of dimensions returned. It defaults to the largest possible number of dimensions (768), or you can select 64, 128, 256, or 512.
Now set the necessary environment variable (or pass it in via the constructor):
export NOMIC_API_KEY=
import { NomicEmbeddings } from "@langchain/nomic";
const nomicEmbeddings = new NomicEmbeddings({
apiKey: process.env.NOMIC_API_KEY, // Default value.
modelName: "nomic-embed-text-v1", // Default value.
});
const docs = [
"hello world",
"nomic embeddings!",
"super special langchain integration package",
"what color is the sky?",
];
const embeddings = await nomicEmbeddings.embedDocuments(docs);
Development
To develop the @langchain/nomic
package, you'll need to follow these instructions:
Install dependencies
yarn install
Build the package
yarn build
Or from the repo root:
yarn build --filter=@langchain/nomic
Run tests
Test files should live within a tests/
file in the src/
folder. Unit tests should end in .test.ts
and integration tests should
end in .int.test.ts
:
$ yarn test
$ yarn test:int
Lint & Format
Run the linter & formatter to ensure your code is up to standard:
yarn lint && yarn format
Adding new entrypoints
If you add a new file to be exported, either import & re-export from src/index.ts
, or add it to the entrypoints
field in the config
variable located inside langchain.config.js
and run yarn build
to generate the new entrypoint.