https://github.com/davidulloa6310/search-engine
Search engine implemented in Golang using Postgres for storing documents and computing TF-IDF values
https://github.com/davidulloa6310/search-engine
go golang nlp postgres tfidf
Last synced: 9 months ago
JSON representation
Search engine implemented in Golang using Postgres for storing documents and computing TF-IDF values
- Host: GitHub
- URL: https://github.com/davidulloa6310/search-engine
- Owner: DavidUlloa6310
- Created: 2023-09-30T02:53:27.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-08T18:14:14.000Z (almost 2 years ago)
- Last Synced: 2024-02-08T19:29:12.718Z (almost 2 years ago)
- Topics: go, golang, nlp, postgres, tfidf
- Language: Go
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Search-Engine (Golang)
This project implements a simple search engine in Go using TF-IDF and Vector similarity search with Postgres. The initial implementation included using Cassandra as the main database, but was switched to Postgres for flexibility. Learned:
* Golang project structure and langauge details
* Cassandra database constraints / requirements
* Information Retrieval from scratch, including web crawling, HTML parsing, TF-IDF formulation.
# What's next?
Next is to...
* use a local LLM model to create document embeddings to further improve the accuracy of the engine
* use a graph database like Neo4j to implement ranking algorithms to supplement vector similarity and TF-IDF
* implement a frontend that allows users to make search queries