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README.md

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@@ -20,7 +20,8 @@ yuno is a JSON document store with fulltext search. It's meant for embedding in
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yuno is pretty basic - it has two main components:
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- the document store, which is just the raw JSON objects stored in [leveldb](https://github.com/Level/levelup)
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- the inverted search index, powered by [search-index](https://github.com/fergiemcdowall/search-index). Importantly, fields that will be searchable are passed through a customisable [natural](https://github.com/NaturalNode/natural) language processing pipeline prior to being added to the index, greatly improving speed and memory usage compared to the vanilla search-index
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- the inverted search index, powered by [search-index](https://github.com/fergiemcdowall/search-index)
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- A customisable [natural](https://github.com/NaturalNode/natural) language processing pipeline that is applied to documents before adding them to the index, greatly improving speed and memory usage compared to the vanilla search-index.
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**None of this is revolutionary** - actually it's standard in the major search contenders like `elasticsearch` and `solr`. And all the pieces exist already in the node ecosystem. But I couldn't find a node fulltext search and document store that could handle millions of documents, persisted on disk, didn't have crazy memory requirements and could be easily bundled into an electron app.
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### Create / load a database
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calling `yuno`
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**`yuno(options, callback)`**
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e.g.

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