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## Prototyping FTI for CouchDB databases in CouchDB
-**NOTE: This project is now incorporated into [Bitstore](http://github.com/bdionne/bitstore/tree/bitcask/src/search/ "Bitstore"), and will be continued there**
+**NOTE: This project is now incorporated into [Bitstore](http://github.com/bdionne/bitstore/tree/master/src/search/ "Bitstore"), and will be continued there**
Chapter 20 of Joe Armstrong's Erlang book provides a nice example of the use of processes to do full text indexing with map/reduce. The essential idea is to spawn a process for each document to index and let the reduce function populate the inverted index as it collects the results of the map phase. I recently heard mention of osmos in a talk from the NoSQL east conference and it struck me as the ideal data structure for storing an inverted index, particularly since it supports user-defined merging. So when one encounters the word Neoplasm in multiple docs one can just write the key/value to the store and let a defined merging function sort things out.