---
title: Run Queries
description: Run your first queries on ParadeDB
canonical: https://docs.paradedb.com/documentation/getting-started/queries
---

Now that your [environment is configured](/documentation/getting-started/environment), select the codetab for your tool and run some queries.

## Text Search

We're now ready to execute a basic text search query. We'll look for matches where `description` matches `running shoes` where `rating` is greater than `2`.

<CodeGroup>
```sql SQL
SELECT description, rating, category
FROM mock_items
WHERE description ||| 'running shoes' AND rating > 2
ORDER BY rating
LIMIT 5;
```

```ts Drizzle
import { and, gt } from "drizzle-orm";
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    rating: mockItems.rating,
    category: mockItems.category,
  })
  .from(mockItems)
  .where(
    and(
      search.matchAny(mockItems.description, "running shoes"),
      gt(mockItems.rating, 2),
    ),
  )
  .orderBy(mockItems.rating)
  .limit(5);
```

```python Django
from paradedb import MatchAny, ParadeDB

MockItem.objects.filter(
    description=ParadeDB(MatchAny('running shoes')),
    rating__gt=2
).values('description', 'rating', 'category').order_by('rating')[:5]
```

```python SQLAlchemy
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import search

stmt = (
    select(MockItem.description, MockItem.rating, MockItem.category)
    .where(search.match_any(MockItem.description, "running shoes"), MockItem.rating > 2)
    .order_by(MockItem.rating)
    .limit(5)
)

with Session(engine) as session:
    session.execute(stmt).all()
```

```ruby Rails
MockItem.search(:description)
        .match_any("running shoes")
        .where(rating: 3..)
        .select(:description, :rating, :category)
        .order(:rating)
        .limit(5)
```

```cs EF Core
await dbContext
    .MockItems.Where(item =>
        EF.Functions.MatchAny(item.Description, "running shoes") && item.Rating > 2
    )
    .OrderBy(item => item.Rating)
    .Select(item => new { item.Description, item.Rating, item.Category })
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     | rating | category
---------------------+--------+----------
 White jogging shoes |      3 | Footwear
 Generic shoes       |      4 | Footwear
 Sleek running shoes |      5 | Footwear
(3 rows)
```

`|||` is ParadeDB's custom [match disjunction](/documentation/full-text/match#match-disjunction) operator, which means "find me all documents containing
`running OR shoes`.

If we want all documents containing `running AND shoes`, we can use ParadeDB's `&&&` [match conjunction](/documentation/full-text/match#match-conjunction) operator.

<CodeGroup>
```sql SQL
SELECT description, rating, category
FROM mock_items
WHERE description &&& 'running shoes' AND rating > 2
ORDER BY rating
LIMIT 5;
```

```ts Drizzle
import { and, gt } from "drizzle-orm";
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    rating: mockItems.rating,
    category: mockItems.category,
  })
  .from(mockItems)
  .where(
    and(
      search.matchAll(mockItems.description, "running shoes"),
      gt(mockItems.rating, 2),
    ),
  )
  .orderBy(mockItems.rating)
  .limit(5);
```

```python Django
from paradedb import MatchAll, ParadeDB

MockItem.objects.filter(
    description=ParadeDB(MatchAll('running shoes')),
    rating__gt=2
).values('description', 'rating', 'category').order_by('rating')[:5]
```

```python SQLAlchemy
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import search

stmt = (
    select(MockItem.description, MockItem.rating, MockItem.category)
    .where(search.match_all(MockItem.description, "running shoes"), MockItem.rating > 2)
    .order_by(MockItem.rating)
    .limit(5)
)

with Session(engine) as session:
    session.execute(stmt).all()
```

```ruby Rails
MockItem.search(:description)
        .match_all("running shoes")
        .where(rating: 3..)
        .select(:description, :rating, :category)
        .order(:rating)
        .limit(5)
```

```cs EF Core
await dbContext
    .MockItems.Where(item =>
        EF.Functions.MatchAll(item.Description, "running shoes") && item.Rating > 2
    )
    .OrderBy(item => item.Rating)
    .Select(item => new { item.Description, item.Rating, item.Category })
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     | rating | category
---------------------+--------+----------
 Sleek running shoes |      5 | Footwear
(1 row)
```

## BM25 Scoring

Next, let's add [BM25 scoring](/documentation/sorting/score) to the results, which sorts matches by relevance. To do this, we'll use `pdb.score`.

<CodeGroup>
```sql SQL
SELECT description, pdb.score(id)
FROM mock_items
WHERE description ||| 'running shoes' AND rating > 2
ORDER BY score DESC
LIMIT 5;
```

```ts Drizzle
import { and, desc, gt } from "drizzle-orm";
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    score: search.score(mockItems.id),
  })
  .from(mockItems)
  .where(
    and(
      search.matchAny(mockItems.description, "running shoes"),
      gt(mockItems.rating, 2),
    ),
  )
  .orderBy(desc(search.score(mockItems.id)))
  .limit(5);
```

```python Django
from paradedb import MatchAny, ParadeDB, Score

MockItem.objects.filter(
    description=ParadeDB(MatchAny('running shoes')),
    rating__gt=2
).annotate(
    score=Score()
).values('description', 'score').order_by('-score')[:5]
```

```python SQLAlchemy
from sqlalchemy import desc, select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import pdb, search

stmt = (
    select(MockItem.description, pdb.score(MockItem.id).label("score"))
    .where(search.match_any(MockItem.description, "running shoes"), MockItem.rating > 2)
    .order_by(desc("score"))
    .limit(5)
)

with Session(engine) as session:
    session.execute(stmt).all()
```

```ruby Rails
MockItem.search(:description)
        .match_any("running shoes")
        .where(rating: 3..)
        .with_score
        .select(:description)
        .order(search_score: :desc)
        .limit(5)
```

```cs EF Core
await dbContext
    .MockItems.Where(item =>
        EF.Functions.MatchAny(item.Description, "running shoes") && item.Rating > 2
    )
    .Select(item => new { item.Description, Score = EF.Functions.Score(item.Id) })
    .OrderByDescending(item => item.Score)
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     |   score
---------------------+-----------
 Sleek running shoes |  6.817111
 Generic shoes       | 3.8772602
 White jogging shoes | 3.4849067
(3 rows)
```

## Vector Search

<Note>
  Native vector search support for ParadeDB requires version `0.25.0` or above.
</Note>

The `mock_items` table also contains an `embedding` column. Let's execute the same query above, but order results by vector similarity
instead of BM25 score:

<CodeGroup>
```sql SQL
SELECT description, embedding
FROM mock_items
WHERE description ||| 'running shoes' AND rating > 2
ORDER BY embedding <=> '[1, 2, 3, 4, 5, 6, 7, 8]'
LIMIT 5;
```

```ts Drizzle
// Vector search support for Drizzle is coming very soon.
```

```python Django
# Vector search support for Django is coming very soon.
```

```python SQLAlchemy
# Vector search support for SQLAlchemy is coming very soon.
```

```ruby Rails
# Vector search support for Rails is coming very soon.
```

```cs EF Core
// Vector search support for EF Core is coming very soon.
```

</CodeGroup>

```ini Expected Response
     description     |                                  embedding
---------------------+------------------------------------------------------------------------------
 White jogging shoes | [-0.042016,0.399574,-0.663812,-0.071006,0.430261,0.21037,0.392919,-0.095506]
 Sleek running shoes | [-0.01708,0.467566,-0.757486,0.134082,0.33933,0.04403,0.185394,-0.194613]
 Generic shoes       | [-0.28609,0.368785,-0.810201,0.011777,0.132327,0.199342,0.056281,-0.255287]
(3 rows)
```

Because `embedding` is part of the same index as `description` and `rating`, the entire query (the full-text match, the rating filter,
and the nearest-neighbor ordering) executes inside the ParadeDB index. ParadeDB is the only Postgres index that can do this — every other
Postgres vector index is a standalone index that requires separate pre/post filtering, which hurts performance and recall.

## Top K Ordering

In addition to BM25 and vector similarity, ParadeDB is also optimized for quickly sorting by an arbitrary field, also known as a [Top K](/documentation/sorting/topk) query.
In SQL, this means queries that contain an `ORDER BY <field>...LIMIT`:

<CodeGroup>
```sql SQL
SELECT description, rating, category
FROM mock_items
WHERE description ||| 'running shoes'
ORDER BY rating
LIMIT 5;
```

```ts Drizzle
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    rating: mockItems.rating,
    category: mockItems.category,
  })
  .from(mockItems)
  .where(search.matchAny(mockItems.description, "running shoes"))
  .orderBy(mockItems.rating)
  .limit(5);
```

```python Django
from paradedb import MatchAny, ParadeDB

MockItem.objects.filter(
    description=ParadeDB(MatchAny('running shoes'))
).values('description', 'rating', 'category').order_by('rating')[:5]
```

```python SQLAlchemy
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import search

stmt = (
    select(MockItem.description, MockItem.rating, MockItem.category)
    .where(search.match_any(MockItem.description, "running shoes"))
    .order_by(MockItem.rating)
    .limit(5)
)

with Session(engine) as session:
    session.execute(stmt).all()
```

```ruby Rails
MockItem.search(:description)
        .match_any("running shoes")
        .select(:description, :rating, :category)
        .order(:rating)
        .limit(5)
```

```cs EF Core
await dbContext
    .MockItems.Where(item => EF.Functions.MatchAny(item.Description, "running shoes"))
    .OrderBy(item => item.Rating)
    .Select(item => new { item.Description, item.Rating, item.Category })
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     | rating | category
---------------------+--------+----------
 White jogging shoes |      3 | Footwear
 Generic shoes       |      4 | Footwear
 Sleek running shoes |      5 | Footwear
(3 rows)
```

<Note>
  The ordering field, in this case `rating`, must be indexed inside the ParadeDB
  index.
</Note>

## Highlighting

Finally, let's also [highlight](/documentation/full-text/highlight) the relevant portions of the documents that were matched.
To do this, we'll use `pdb.snippet`.

<CodeGroup>
```sql SQL
SELECT description, pdb.snippet(description), pdb.score(id)
FROM mock_items
WHERE description ||| 'running shoes' AND rating > 2
ORDER BY score DESC
LIMIT 5;
```

```ts Drizzle
import { and, desc, gt } from "drizzle-orm";
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    snippet: search.snippet(mockItems.description),
    score: search.score(mockItems.id),
  })
  .from(mockItems)
  .where(
    and(
      search.matchAny(mockItems.description, "running shoes"),
      gt(mockItems.rating, 2),
    ),
  )
  .orderBy(desc(search.score(mockItems.id)))
  .limit(5);
```

```python Django
from paradedb import MatchAny, ParadeDB, Score, Snippet

MockItem.objects.filter(
    description=ParadeDB(MatchAny('running shoes')),
    rating__gt=2
).annotate(
    snippet=Snippet('description'),
    score=Score()
).values('description', 'snippet', 'score').order_by('-score')[:5]
```

```python SQLAlchemy
from sqlalchemy import desc, select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import pdb, search

stmt = (
    select(
        MockItem.description,
        pdb.snippet(MockItem.description).label("snippet"),
        pdb.score(MockItem.id).label("score"),
    )
    .where(search.match_any(MockItem.description, "running shoes"), MockItem.rating > 2)
    .order_by(desc("score"))
    .limit(5)
)

with Session(engine) as session:
    session.execute(stmt).all()
```

```ruby Rails
MockItem.search(:description)
        .match_any("running shoes")
        .where(rating: 3..)
        .with_snippet(:description)
        .with_score
        .select(:description)
        .order(search_score: :desc)
        .limit(5)
```

```cs EF Core
await dbContext
    .MockItems.Where(item =>
        EF.Functions.MatchAny(item.Description, "running shoes") && item.Rating > 2
    )
    .Select(item => new
    {
        item.Description,
        Snippet = EF.Functions.Snippet(item.Description),
        Score = EF.Functions.Score(item.Id)
    })
    .OrderByDescending(item => item.Score)
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     |              snippet              |   score
---------------------+-----------------------------------+-----------
 Sleek running shoes | Sleek <b>running</b> <b>shoes</b> |  6.817111
 Generic shoes       | Generic <b>shoes</b>              | 3.8772602
 White jogging shoes | White jogging <b>shoes</b>        | 3.4849067
(3 rows)
```

## Facets

[Faceted queries](/documentation/aggregates/facets) allow a single query to return both the Top K results and an aggregate value,
which is more CPU-efficient than issuing two separate queries.

For example, the following query returns the top 3 results as well as the total number of results matched.

<CodeGroup>
```sql SQL
SELECT
     description, rating, category,
     pdb.agg('{"value_count": {"field": "id"}}') OVER ()
FROM mock_items
WHERE description ||| 'running shoes'
ORDER BY rating
LIMIT 5;
```

```ts Drizzle
import { search } from "@paradedb/drizzle-paradedb";

await db
  .select({
    description: mockItems.description,
    rating: mockItems.rating,
    category: mockItems.category,
    agg: search.agg({ value_count: { field: "id" } }).over(),
  })
  .from(mockItems)
  .where(search.matchAny(mockItems.description, "running shoes"))
  .orderBy(mockItems.rating)
  .limit(5);
```

```python Django
from paradedb import MatchAny, ParadeDB

(
    MockItem.objects
    .filter(description=ParadeDB(MatchAny('running shoes')))
    .order_by('rating')
    .values('description', 'rating', 'category')[:5]
    .facets(agg='{"value_count": {"field": "id"}}')
)
```

```python SQLAlchemy
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, search

base = (
    select(MockItem.description, MockItem.rating, MockItem.category)
    .where(search.match_any(MockItem.description, "running shoes"))
    .order_by(MockItem.rating)
    .limit(5)
)

stmt = facets.with_rows(base, agg=facets.value_count(field="id"), key_field=MockItem.id)

with Session(engine) as session:
    rows = session.execute(stmt).all()
    facets.extract(rows)
```

```ruby Rails
relation = MockItem.search(:description)
                   .match_any("running shoes")
                   .with_agg(agg: ParadeDB::Aggregations.value_count(:id))
                   .order(:rating)
                   .select(:description, :rating, :category)
                   .limit(5)

rows = relation.to_a
facets = relation.aggregates
```

```cs EF Core
await dbContext
    .MockItems.Where(item => EF.Functions.MatchAny(item.Description, "running shoes"))
    .OrderBy(item => item.Rating)
    .Select(item => new
    {
        item.Description,
        item.Rating,
        item.Category,
        Agg = EF.Functions.AggOver(new { value_count = new { field = "id" } })
    })
    .Take(5)
    .ToListAsync();
```

</CodeGroup>

```ini Expected Response
     description     | rating | category |      agg
---------------------+--------+----------+----------------
 White jogging shoes |      3 | Footwear | {"value": 3.0}
 Generic shoes       |      4 | Footwear | {"value": 3.0}
 Sleek running shoes |      5 | Footwear | {"value": 3.0}
(3 rows)
```

That's it! Next, let's [load your data](/documentation/getting-started/load) to start running real queries.
