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Use vector index in postgres-pgvector template #985

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10 changes: 5 additions & 5 deletions storage/postgres-pgvector/app/actions.tsx
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import { db } from '@/drizzle/db'
import { SelectPokemon, pokemons } from '@/drizzle/schema'
import { openai } from '@/lib/openai'
import { desc, sql, cosineDistance, gt } from 'drizzle-orm'
import { asc, sql, cosineDistance, lt } from 'drizzle-orm'
import { embed } from 'ai'

export async function searchPokedex(
Expand All @@ -15,16 +15,16 @@ export async function searchPokedex(
const embedding = await generateEmbedding(query)
const vectorQuery = `[${embedding.join(',')}]`

const similarity = sql<number>`1 - (${cosineDistance(
const similarity = sql<number>`${cosineDistance(
pokemons.embedding,
vectorQuery
)})`
)}`

const pokemon = await db
.select({ id: pokemons.id, name: pokemons.name, similarity })
.from(pokemons)
.where(gt(similarity, 0.5))
.orderBy((t) => desc(t.similarity))
.where(lt(similarity, 0.5))
.orderBy((t) => asc(t.similarity))
.limit(8)

return pokemon
Expand Down
2 changes: 1 addition & 1 deletion storage/postgres-pgvector/components/search.tsx
Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ export function Search({ searchPokedex }: SearchProps) {
<div className="text-sm text-gray-800">
{pokemon.similarity ? (
<div className="text-xs font-mono p-0.5 rounded bg-zinc-100">
{pokemon.similarity.toFixed(3)}
{(1 - pokemon.similarity).toFixed(3)}
</div>
) : (
<div />
Expand Down