Skip to main content

llama-index embeddings netmind integration

Project description

LlamaIndex Embeddings Integration: Netmind

Installation

To install the required package, run:

pip install llama-index-llms-netmind

Setup

  1. Set your Netmind API key as an environment variable. Visit https://www.netmind.ai/ and sign up to get an API key.
import os

os.environ["NETMIND_API_KEY"] = "you_api_key"

Basic Usage

from llama_index.embeddings.netmind import NetmindEmbedding

embed_model = NetmindEmbedding(model_name="BAAI/bge-m3", api_key="")
embeddings = embed_model.get_text_embedding("hello world")
print(len(embeddings))

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llama_index_embeddings_netmind-0.3.0.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file llama_index_embeddings_netmind-0.3.0.tar.gz.

File metadata

  • Download URL: llama_index_embeddings_netmind-0.3.0.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llama_index_embeddings_netmind-0.3.0.tar.gz
Algorithm Hash digest
SHA256 4adfc499a61d4ac0813010497cca48d868e6d6b5eb44db1db1918390f45c0285
MD5 e38e3295a7510c8ccd3602feb06706c6
BLAKE2b-256 55903bb94d2b1cbbc96934aa2762dfd1631fdecaa0517bc82f1fbfdbfbc24125

See more details on using hashes here.

File details

Details for the file llama_index_embeddings_netmind-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: llama_index_embeddings_netmind-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llama_index_embeddings_netmind-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 42227e1431c8b3dd1c19a876553cde006862984d1823edce33b1c1b0447936cb
MD5 c27123b81b5a09c6d2c52b780c83b720
BLAKE2b-256 a49c1f044098934c4648a768c832915f5ea904210a4e068bb9db11bb45abb788

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page