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Mixpeek listens in on changes to your database then processes each change (file_url or inline) through an inference pipeline of: extraction, generation and embedding leaving your database with fresh multimodal data always.
It removes the need of setting up architecture to track database changes, extracting content, processing and embedding it then treating each change as its' own atomic unit
We support every modality: documents, images, video, audio and of course text.
Mixpeek is structured into two main services, each designed to handle a specific part of the process:
- API Orchestrator: Coordinates the flow between services, ensuring smooth operation and handling failures gracefully.
- Distributed Queue:
- Inference Service: Extraction, embedding, and generation of payloads
These services are containerized and can be deployed on separate servers for optimal performance and scalability.
Clone the Mixpeek repository and navigate to the SDK directory:
git clone [email protected]:mixpeek/server.git
cd serverWe use poetry for all services, but there is an optional Dockerfile in each. We'll use poetry in the setup for quick deployment.
For each service you'll do the following:
- Create a virtual environment
poetry env use python3.10
- Activate the virtual environment
poetry shell
- Install the requirements
poetry install
.env file:
SERVICES_CONTAINER_URL=http://localhost:8001
PYTHON_VERSION=3.11.6
OPENAI_KEY=
ENCRYPTION_KEY=
REDIS_URL=
MONGO_URL=
MONGODB_ATLAS_PUBLIC_KEY=
MONGODB_ATLAS_PRIVATE_KEY=
MONGODB_ATLAS_GROUP_ID=
AWS_ACCESS_KEY=
AWS_SECRET_KEY=
AWS_REGION=
AWS_ARN_LAMBDA=
MIXPEEK_ADMIN_TOKEN=Then run it:
poetry run python3 -m uvicorn main:app --reload.env file:
S3_BUCKET=
AWS_ACCESS_KEY=
AWS_SECRET_KEY=
AWS_REGION=
PYTHON_VERSION=poetry run python3 -m uvicorn main:app --reload --host 0.0.0.0 --port 8001Also runs inside the api folder and uses the same .env file as api
celery -A db.service.celery_app worker --loglevel=infoYou now have 3 services running !
All methods are exposed as HTTP endpoints.
- API swagger: https://api.mixpeek.com/docs/openapi.json
- API Documentation: https://docs.mixpeek.com
- Python SDK: https://github.com/mixpeek/mixpeek-python
You'll first need to generate an api key via POST /user
Use the MIXPEEK_ADMIN_TOKEN you defined in the api env file.
curl --location 'http://localhost:8000/users/private' \
--header 'Authorization: MIXPEEK_ADMIN_TOKEN' \
--header 'Content-Type: application/json' \
--data-raw '{"email":"[email protected]"}'
You can use any email, doesn't matter
If you want a completely managed version of Mixpeek: https://mixpeek.com/start
We also have a transparent and predictible billing model: https://mixpeek.com/pricing
- Email: [email protected]
- Meeting: https://mixpeek.com/contact