marqo

Marqo is a tensor search engine that can embed and index content with a unified API, reducing glue between embedding models and vector stores (open-core). Evaluate ops complexity vs. split embedder + vector DB. Ecommerce Search and Discovery - marqo.ai A deep-learning powered, open-source search engine which seamlessly integrates with your applications, websites, and workflow. 1. Marqo requires docker. To install docker go to https://docs.docker.com/get-docker/ 2. Use docker to run Opensearch: bash docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:2.1.0 3. Install the Marqo client: bash pip install marqo 4. Start indexing and searching! Let's look at a simple example below: mq = marqo.Client(url='https://localhost:9200', mainuser="admin", mainpassword="admin")