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Building a Search API with Elasticsearch and BERT

This project is part of the Build a Search Tool with NLP bundle.
prerequisites
intermediate Python • basic Docker • manipulations with tuples, lists and dictionaries
skills learned
Packaging and deploying with Docker • search and indexing with Elasticsearch • building APIs with Flask
Olesya Bondarenko
1 week · 9-15 hours per week · INTERMEDIATE
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liveProject This project is part of the Build a Search Tool with NLP bundle. liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save: $10 (33%)
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In this liveProject, you’ll bring together multiple tools and models to construct a production-grade smart search engine. You’ll combine off-the-shelf Elasticsearch models for keyword search with your own semantic search API using transformers. Start by setting up and indexing an Elasticsearch Docker container, then quickly move on to boosting search relevance with BERT. Finally, you’ll set up a Flask API to serve a BERT model and look into customizing your search engine for your own particular topics of interest.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book and video resources

When you start your liveProject, you get full access to the following books and videos for 90 days.

project author

Olesya Bondarenko
Olesya Bondarenko has a multidisciplinary background and experience in natural language processing (NLP), machine learning, deep learning, statistics, time-series analysis, process automation, engineering R&D and new product prototyping. Currently, she is a data scientist at Strong Analytics, a leading provider of customized AI solutions, where she specializes in developing NLP systems. Prior to joining Strong, she worked with several startups leading research and development efforts in the areas of conversational AI, data-leveraged scientific discovery solutions, and a variety of automated analytic and data collection tools. Olesya received her PhD in electrical engineering from the University of California San Diego where she designed and prototyped novel optical devices, as well as custom instrumentation for their analysis.

prerequisites

This liveProject is for intermediate Python programmers familiar with the command line and Docker. To begin this liveProject you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Basic understanding of conda environments
  • Basic Docker
  • Basic Flask web development
TECHNIQUES
  • Reading data from and writing to JSON files
  • Manipulations with tuples, lists, and dictionaries using loops and comprehensions

you will learn

In this liveProject you’ll construct an enterprise-grade search engine using in-demand development technologies.

  • Packaging and deploying with Docker
  • Search and indexing with Elasticsearch
  • Building APIs with Flask
  • Scraping articles with WikipediaAPI and Python

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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