Elasticsearch Practice

This repo is forked from ImadSaddik where I work step by step with his ElasticSearch Project. The goal of this project was to gain exposure to Elasticsearch and its different features.

Repository contents

Core Features

• Text Search: Multi-field search across document titles and explanations
• N-gram Analysis: Enhanced search capabilities with edge n-gram tokenization
• Semantic Search: Vector-based search using sentence embeddings
• FastAPI Backend: RESTful API endpoints for search functionality
• Year-based Filtering: Filter search results by date ranges

Semantic Search

• Used sentence-transformers to create embedded vectors for each image explanation
• Use the semantic similarity scores to compare to user qeuries

N-Grams Search

• Improved on regular standard text matching with partial matching & autocomplete

Prerequisites

• Elasticsearch was ran locally on a Docker container:
• docker run -d --name elasticsearch
  -p 9200:9200
  -e "discovery.type=single-node"
  -e "xpack.security.enabled=false"
  docker.elastic.co/elasticsearch/elasticsearch:8.15.0
• Sentence-Transformers was also used and installed in order to create the embeddings
• Built on Vue.js for frontend