Ghee
Fuel for the lamp and an ingredient in prasad. Cow ghee is preferred for the aarti lamp.
Where to buy
Every shop that carries it, cheapest in-stock first.
Price, stock and lead time are properties of the AVAILABLE_AT relationship — the same product costs different amounts at different shops, and that fact belongs to the pairing.Product → AVAILABLE_AT → Florist → LOCATED_IN → Location
| Shop | Area | Rating | Price | Availability |
|---|---|---|---|---|
| Matunga Pooja Bhandar | Matunga | 4.6(402) | ₹403 | In stock · Next day |
| Gandhipuram Pooja Stores | Gandhipuram | 4.4(158) | ₹334 | Out of stock |
| Adyar Pooja Mart | Adyar | 4.5(289) | ₹410 | Out of stock |
1 of 3 shops have it in stock right now.
If you can't get it
Alternatives found by walking the substitution chain up to three hops.
Closeness is multiplied along the chain, so a substitute reached in two hops automatically scores lower than a direct one — no rule had to say so.Product → SUBSTITUTE_FOR*1..3 → Product
Needed for
Every occasion that calls for this, and how much each one needs.
Exactly the same relationship as the checklist, traversed in the other direction and at the same cost. A relational schema would need a second index for this.Occasion → NEEDS → Product (read backwards)
- Wedding (Kalyanam)Essential2 bottles
The homam consumes more than people expect.
- Lakshmi PoojaEssential1 bottle
Ghee rather than oil for the lamp on a Friday.
- House Warming (Griha Pravesh)Essential1 bottle
For the lamp and for the milk that is boiled over.
- Ayush HomamEssential2 bottles
The fire takes more ghee than any other ritual on this list.
- DiwaliRecommended1 bottle
- Karthigai DeepamRecommended1 bottle
How Ghee connects to Wedding (Kalyanam)
The route the graph took, not just the fact that a route exists.
This is the query with no relational equivalent. A join returns rows; the joins that connected them are gone by the time the result exists. Only a graph can hand back the path itself.shortestPath, up to 6 hops
- Ghee is needed by
- Wedding (Kalyanam)
1 hop through the graph