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Automatic embedding using mongo changestreams for Atlas Vector Search

License: BSD 2-Clause "Simplified" License

Python 33.51% HTML 66.49%
embeddings mistral mongodb-atlas openai vector-search

vectorstream's Introduction

Vector Stream

This tool automatically fetches and updates vector embeddings for your Atlas Vector Search use cases.

  • Supports OpenAI (text-ada-002), Mistral (mistral-embed) and VectorService (https://github.com/patw/VectorService)
  • Configure the .env file to point to your atlas instance, database, collection and which field to vectorize and which field to store the embedding
  • Configure optional OpenAI or Mistral keys for hosted services
  • Automatically performs embedding for all records with missing keys
  • Listens to changestreams for insert, replace and update events. Calls the embedding model to update embedding field.

Installation

pip install -r requirements.txt

Running App

Copy sample.env to .env and modify with connection string to your Atlas instance

python main.py

vectorstream's People

Contributors

patw avatar

Stargazers

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Watchers

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