Go to facet tutorial https://www.mongodb.com/docs/atlas/atlas-search/tutorial/facet-tutorial/ Follow the tutorial to exit the existing default search index for sample_mflix Use the Atlas UI Aggregation Pipeline builder "new pipeline from text" and paste the aggregate as described in step 3 under Search the Collection  https://www.mongodb.com/docs/atlas/atlas-search/tutorial/facet-tutorial/#run-an-facet-query-that-groups-the-genre-and-year-fields-into-buckets Result: The following is shown in the web console; { "errorCode": "OPERATION_ERROR", "message": "Reason: [01:14:05.242] Error interpreting pipeline string '[{\"$searchMeta\": {\"facet\": {\"operator\": {\"near\": {\"path\": \"released\", \"origin\": {\"$date\": -1520035200000} , \"pivot\": {\"$numberLong\": \"7776000000\"}}}, \"facets\": {\"genresFacet\": {\"type\": \"string\", \"path\": \"genres\"} , \"yearFacet\": {\"type\": \"number\", \"path\": \"year\", \"boundaries\": [1910, 1920, 1930, 1940] }}}}},{\"$limit\": 20},{ \"$limit\" : 20 }]' as list : error decoding key 0: invalid JSON input; expected {", "params": [ " [01:14:05.242] Error interpreting pipeline string '[{\"$searchMeta\": {\"facet\": {\"operator\": {\"near\": {\"path\": \"released\", \"origin\": {\"$date\": -1520035200000} , \"pivot\": {\"$numberLong\": \"7776000000\"}}}, \"facets\": {\"genresFacet\": {\"type\": \"string\", \"path\": \"genres\"} , \"yearFacet\": {\"type\": \"number\", \"path\": \"year\", \"boundaries\": [1910, 1920, 1930, 1940] }}}}},{\"$limit\": 20},{ \"$limit\" : 20 }]' as list : error decoding key 0: invalid JSON input; expected {" ], "version": "1", "status": "ERROR" }