Search Engine written in Go.

This engine will index the linux API documentation stored in linux-docs folder inside linux-kernel-docs.tgz archive using the TF-IDF method.

Also, it can:

• Accept queries about the documents through an API.
• Accept queries about the documents through a web.

Wikipedia

📓

• For Term Frequency, we use the raw count weighting scheme.
• For Inverse document Frequency, we use the inverse document frequency smooth weighting scheme.

• Index files:

go run main.go -index

• Serve files:

go run main.go -serve

• Query the server:

curl 'localhost:4000/search?query=memory%20management'

• Specify the result count (defaults to 5):

curl 'localhost:4000/search?query=memory%20management&count=10'

cd ui
npm install
npm run dev

• Index: parse the .html docs into a json that maps, for each document, every word occurrence inside it.
• Serve: load the json file and apply TF-IDF algorithm to the search terms.

• enable debug logs
• try changing representation format to a more performant one
• docker/docker-compose

We will index the linux kernel documentation. We have obtained this docs from the linux repo:

git clone --depth 1 https://github.com/torvalds/linux.git
cd linux
make htmldocs

Now, inside Documentation/output, there will be all the docs in .html format.