yashmeh / falabella Goto Github PK

Falabella is a content(PDF,PPT,XLSX,CSV etc..) loading and searching software that can be used to rank content based on the given keywords. It uses apache tika to parse the files and load them to a given elasticsearch server which can then be used for searching.

You can run it on Windows,MacOS or Linux (64 bit), download from here

• Download the binary from here
• Create a config.yaml file in the same directory and pass the configurations

services:
  elasticSearch: http://localhost:9200
  apacheTika: http://localhost:9998

# Path for which you want to index the documents
appConfig:
  filePath: ./assets/

• Run the binary and it will index different kinds of documents (PDF,PPT,XLSX,CSV).

• Download the elasticvue plugin(or anything similar) from here

• Goto the plugin and search the keywords.

For elasticsearch

docker run --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:7.12.0

For apacheTika

docker run -p 9998:9998 apache/tika:1.26

• Ranking huge number of research papers based on a certain keyword.
• Seaching for keywords through different kinds of documents and all at once. and more..
• Rank resume based on certain skills that you want.
• Use this to find relevant information of a keyword from heterogeneous media types.

It stores the content type, metdata and body of the documents and uses goroutines to -

• Parallely process and parse files.
• Concurrently loads them to elasticsearch without waiting for all the files to get parsed. If you want to read how elasticsearch rank documents you can read here.

1. Add OCR service for dealing with text containing images.
2. Add a service to deal with audio/video files.
3. Add tests .

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