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[Summary](#summary)\n2.  [Architecture](#architecture)\n3.  [Features](#features)\n4.  [Prerequisites](#prerequisites)\n5.  [Installation](#installation)\n6.  [Usage](#usage)\n\n## Summary \u003ca name=\"summary\"\u003e\u003c/a\u003e\nThis is a demonstration of various search scenarios against technical product manuals using Elasticsearch and Jina models.\n\n## Architecture \u003ca name=\"architecture\"\u003e\u003c/a\u003e\n![architecture](assets/arch.png) \n\n\n## Features \u003ca name=\"features\"\u003e\u003c/a\u003e\n- Jupyter notebook\n- Builds an Elastic Serverless deployment via Terraform\n- Creates a data set from iFixit technical manuals.\n- Utilizes the Jina Reader to parse the tech manual contents.\n- Utilizes the Jina embeddings v5 model to embed the manual content.\n- Performs four different search scenarios that demonstrate the enhanced search capabilities \n- Deletes the entire deployment via Terraform\n\n## Prerequisites \u003ca name=\"prerequisites\"\u003e\u003c/a\u003e\n- terraform\n- Elastic Cloud account and API key\n- Jina API key\n- Python\n\n## Installation \u003ca name=\"installation\"\u003e\u003c/a\u003e\n- Edit the terraform.tfvars.sample and rename to terraform.tfvars\n- Create a Python virtual environment\n\n## Usage \u003ca name=\"usage\"\u003e\u003c/a\u003e\n- Execute notebook","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoeywhelan%2Funstructured-es","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoeywhelan%2Funstructured-es","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoeywhelan%2Funstructured-es/lists"}