Skip to main content

Mistral embedder for the datapizza-ai framework

Project description

Mistral AI embedder

Mistral AI embedder implementation for datapizza-ai

Installation

pip install datapizza-ai-embedders-mistral

Usage

from datapizza.embedders.mistral  import MistralEmbedder

embedder = MistralEmbedder(api_key="your-google-api-key")
embeddings = embedder.embed("Hello world", model_name="models/text-embedding-004")

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

datapizza_ai_embedders_mistral-0.0.2.tar.gz (3.7 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 datapizza_ai_embedders_mistral-0.0.2.tar.gz.

File metadata

File hashes

Hashes for datapizza_ai_embedders_mistral-0.0.2.tar.gz
Algorithm Hash digest
SHA256 587d4573e7a63636e02b67e73b16e97944e8ad690f57f163664c9f9baaf8e16e
MD5 e484ea4759814a3e57051fe48ce48ba5
BLAKE2b-256 d528974e17743a364f9a8ac35c762fcba839feac1e708c77db46094791175c2c

See more details on using hashes here.

File details

Details for the file datapizza_ai_embedders_mistral-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for datapizza_ai_embedders_mistral-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8375f78ac3e943873ffca7e1ae5b0f37557ffdd7621e2caaf71b362412ddc61c
MD5 f78497746683205080f95237ec8f2027
BLAKE2b-256 4814443a7789b4761ea1074fe271c245b2820aa5c5e0028407c23cd80877464f

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