Food Quality: 3 Stars
Service: 1 1/2 Stars
Decor: 2 Stars
Overall Rating: 2 Stars
Note: Four star Rating System from 1/2 Star = Poor to Four stars = Best in Class
One of the top Indian restaurants in Jersey City.
Large menu with many vegetarian choices
Noise Level: Moderate
Recommended For: Diners who enjoy who enjoy well prepared Indian food --- Both eat-in and take-out.
Not Recommended For: For diners who prefer, non-ethnic food
Recommended dishes: When available, The Chicken Korma. Malai Kofta, Baighan Bartha, Saag Paneer garlic Naan, and the Tandoori Chicken.
Rasoi is one of the top Indian restaurants in Jersey City.
Located in the "India Square" section, Rasoi serves Northern-style Indian fare, easily accessible by the PATH and buses.
Their dishes are high in quality, and reasonably priced with a good variety including many vegetarian choices served in large portions.
A nice touch is that they serve a lemon slice, and a raw onion along with green chutney and pickles as a complimentary accompaniment, and will tailor the food to your preference of spiciness .
They offer a good Lunch Buffet.
The decor, recently remodeled, is attractive with an East Indian ambiance complete with comfortable booths and attractive carpeting.
They don't take reservations, and on weekends there are generally crowded, so expect a reasonable wait.
If you can take the slow service, the wait is worth it.
If you are in the neighborhood, Rasoi has delivery service. It's generally a 45- 50 minute wait but on busy weekends it can take as long as 1 1/2 hours. You can order on-line at the above web site.
Parking is difficult, but parking spaces can be found on side streets several blocks away.
(updated: November, 2016)
New Jersey Leisure Guide strives to provide analytic restaurant reviews .
The methodology used is research, analysis driven --- as opposed to that of a single restaurant critic or a viewer comment posting board.
Data is gathered from our viewers e-mail restaurant comments, Internet research, and professional restaurant critics. The data is sorted, (weeding out the obvious biased, "bone to pick", and out of consensus comments), analyzed, and the review is created.