Even though, one of the most famous technique to Similarity Information Retrieval are the Self-Organizing Maps (SOM). They can not answer questions like k-Nearest Neighbors easily. This paper presents a new family of constructive SOM called SAM-SOM family which incorporates Spatial Access Methods to perform more specific queries like k-NN and range queries. Using this family networks, the patterns have to be presented only one. This approach speeds up dramatically the SOM training process with a minimal number of parameters.