A standalone lightweight full-text search engine built on top of blevesearch and Go with multiple storage (scorch, boltdb, leveldb, badgerdb)

• Standanlone.
• Light & Fast.
• Utilizes the full CPU cores, thanks to Go runtime.
• Pluggable storage engines, badgerdb (pure Go rocksdb alternative), boltdb, leveldb, scorch.
• Simple & Neat RESTful API.
• Dynamic Index Creation, you don't need to create an index, just POST your data to the indexing endpoint.
• You can search for your documents instantly.

1. Goto Releases Page
2. Choose your platform based version
3. Download it
4. Copy/Rename it as ./srchx
5. Run chmod +x ./srchx
6. Run ./srchx --help to see help info

# Example 1
# Add new document to the index "twitter" and type "tweet"
$ curl --request POST \
  --url 'http://localhost:2050/twitter/tweets/_doc/new' \
  --header 'Content-Type: application/json' \
  --data '{
	"user": "u5",
	"content": "this is my tweet",
	"views": 5
}'

# Example 2
# Fetch the previously added document using its ID
$ curl http://localhost:2050/twitter/tweets/_doc/2552b636-002e-4f1a-98b1-bdb06c2464ac

I published the API docs on postman here with examples.

1. Blevesearch
2. QueryStringQuery
3. Sorting

A Gopher who likes to build tiny things that make big change.