update description

README.md

@@ -14,6 +14,7 @@ that uses Datalog for query and focuses on graph data and algorithms.
 * Fixed rules providing efficient whole-graph algorithms which integrate seamlessly with Datalog
 * Rich set of built-in functions and aggregations
 * Only a single executable, trivial to deploy and run
+* [Embeddable](https://cozodb.github.io/current/manual/setup.html#embedding-cozo), can run in the same process as the application
 * Easy to use from any programming language
 * Special support for [Jupyter](https://jupyter.org/) notebooks for integration with the Python DataScience ecosystem 
 * Modern, clean, flexible syntax, informative error messages

docs/source/setup.rst

@@ -223,5 +223,4 @@ For Rust programs, as ``cozoserver`` is just a very thin wrapper around the Cozo
 you can use the library directly.
 
 For languages other than Rust, you will need to provide custom bindings,
-but again for `Python <https://pyo3.rs/>`_ and `NodeJS <https://neon-bindings.com/>`_ this is trivial.
-Cozo will always use multiple threads, embedded or not.
+but again for `Python <https://pyo3.rs/>`_ and `NodeJS <https://neon-bindings.com/>`_ this is trivial.