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doc: Update the README features links

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Clément Renault 2019-05-15 15:52:03 +02:00
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@ -10,19 +10,19 @@ A _full-text search database_ using a key-value store internally.
## Features
- Provides [6 default ranking criteria](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/criterion/mod.rs#L94-L105) used to [bucket sort](https://en.wikipedia.org/wiki/Bucket_sort) documents
- Accepts [custom criteria](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/criterion/mod.rs#L24-L31) and can apply them in any custom order
- Support [ranged queries](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/query_builder.rs#L165), useful for paginating results
- Can [distinct](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/query_builder.rs#L96) and [filter](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/query_builder.rs#L85) returned documents based on context defined rules
- Can store complete documents or only [user schema specified fields](https://github.com/meilisearch/MeiliDB/blob/20b5a6a06e4b897313e83e24fe1e1e47c660bfe8/examples/schema-example.toml)
- The [default tokenizer](https://github.com/meilisearch/MeiliDB/blob/a960c325f30f38be6a63634b3bd621daf82912a8/src/tokenizer/mod.rs) can index latin and kanji based languages
- Returns [the matching text areas](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/mod.rs#L15-L18), useful to highlight matched words in results
- Accepts query time search config like the [searchable fields](https://github.com/meilisearch/MeiliDB/blob/e0b759839d552f02e3dd0064948f4d8022415ed7/src/rank/query_builder.rs#L107)
- Provides [6 default ranking criteria](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/criterion/mod.rs#L95-L101) used to [bucket sort](https://en.wikipedia.org/wiki/Bucket_sort) documents
- Accepts [custom criteria](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/criterion/mod.rs#L22-L29) and can apply them in any custom order
- Support [ranged queries](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/query_builder.rs#L146), useful for paginating results
- Can [distinct](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/query_builder.rs#L68) and [filter](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/query_builder.rs#L57) returned documents based on context defined rules
- Can store complete documents or only [user schema specified fields](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/examples/movies/schema-movies.toml)
- The [default tokenizer](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-tokenizer/src/lib.rs#L99) can index latin and kanji based languages
- Returns [the matching text areas](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/lib.rs#L117-L120), useful to highlight matched words in results
- Accepts query time search config like the [searchable fields](https://github.com/meilisearch/MeiliDB/blob/3d85cbf0cfa3a3103cf1e151a75a443719cdd5d7/meilidb-core/src/query_builder.rs#L79)
- Supports run time indexing (incremental indexing)
It uses [RocksDB](https://github.com/facebook/rocksdb) as the internal key-value store. The key-value store allows us to handle updates and queries with small memory and CPU overheads. The whole ranking system is [data oriented](https://github.com/meilisearch/MeiliDB/issues/82) and provides great performances.
It uses [sled](https://github.com/spacejam/sled) as the internal key-value store. The key-value store allows us to handle updates and queries with small memory and CPU overheads. The whole ranking system is [data oriented](https://github.com/meilisearch/MeiliDB/issues/82) and provides great performances.
You can [read the deep dive](deep-dive.md) if you want more information on the engine, it describes the whole process of generating updates and handling queries or you can take a look at the [typos and ranking rules](typos-ranking-rules.md) if you want to know the default rules used to sort the documents.
@ -70,4 +70,4 @@ Once the command is executed, the index should be in the `test.mdb` folder. You
```bash
cargo run --release --example query-database -- test.mdb -n 10 id title overview release_date
```
```