# Metadata and Data
## Metadata
Metadata feature allows you to store context with your vectors to make a connection.
There can be a couple of uses of this:
1. You can put the source of the vector in the metadata to use in your application from the query response.
2. You can put some metadata to further filter the results upon the query.
You can set metadata with your vector as follows:
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.upsert(
[("id-0", [0.9215, 0.3897]), {"url": "https://imgur.com/z9AVZLb"}],
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.upsert({
"id": "id-0",
vector: [0.9215, 0.3897],
metadata: {
url: "https://imgur.com/z9AVZLb",
},
})
```
```go
package main
import (
"github.com/upstash/vector-go"
)
func main() {
index := vector.NewIndex("UPSTASH_VECTOR_REST_URL", "UPSTASH_VECTOR_REST_TOKEN")
index.Upsert(vector.Upsert{
Id: "id-0",
Vector: []float32{0.9215, 0.3897},
Metadata: map[string]any{"url": "https://imgur.com/z9AVZLb"},
})
}
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\VectorUpsert;
use function Upstash\Vector\createRandomVector;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->upsert(new VectorUpsert(
id: 'id-0',
vector: createRandomVector(384),
metadata: [
'url' => "https://imgur.com/z9AVZLb",
],
));
```
```shell
curl $UPSTASH_VECTOR_REST_URL/upsert \
-X POST \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{
"id":"id-0",
"vector":[0.9215,0.3897],
"metadata":{
"url":"https://imgur.com/z9AVZLb"
}
}'
```
When you do a query or fetch, you can opt-in to retrieve the metadata as follows:
- **Query Example**
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.query(
[0.9215, 0.3897],
top_k=5,
include_metadata=True,
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.query({
vector: [0.9215, 0.3897],
topK: 5,
includeMetadata: true,
})
```
```go
package main
import (
"github.com/upstash/vector-go"
)
func main() {
index := vector.NewIndex("UPSTASH_VECTOR_REST_URL", "UPSTASH_VECTOR_REST_TOKEN")
index.Query(vector.Query{
Vector: []float32{0.9215, 0.3897},
TopK: 5,
IncludeMetadata: true,
})
}
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\VectorQuery;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->query(new VectorQuery(
vector: [0.9215, 0.3897],
topK: 5,
includeMetadata: true,
));
```
```shell
curl $UPSTASH_VECTOR_REST_URL/query \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{
"vector":[0.9215,0.3897],
"topK" : 5,
"includeMetadata": true
}'
```
```json
{
"result": [
{
"id": "id-0",
"score": 1,
"metadata": {
"url": "https://imgur.com/z9AVZLb"
}
},
{
"id": "id-3",
"score": 0.99961007,
"metadata": {
"url": "https://imgur.com/zfOPmnI"
}
}
]
}
```
Also, you can filter the results further by providing a metadata filter:
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.query(
[0.9215, 0.3897],
top_k=5,
include_metadata=True,
filter="url GLOB '*imgur.com*'",
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.query({
vector: [0.9215, 0.3897],
topK: 5,
includeMetadata: true,
filter: "url GLOB '*imgur.com*'",
})
```
```go
package main
import (
"github.com/upstash/vector-go"
)
func main() {
index := vector.NewIndex("UPSTASH_VECTOR_REST_URL", "UPSTASH_VECTOR_REST_TOKEN")
index.Query(vector.Query{
Vector: []float32{0.9215, 0.3897},
TopK: 5,
IncludeMetadata: true,
Filter: "url GLOB '*imgur.com*'",
})
}
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\VectorQuery;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->query(new VectorQuery(
vector: [0.9215, 0.3897],
topK: 5,
includeMetadata: true,
filter: "url GLOB '*imgur.com*'",
));
```
```shell
curl $UPSTASH_VECTOR_REST_URL/query \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{
"vector":[0.9215,0.3897],
"topK" : 5,
"includeMetadata": true,
"filter": "url GLOB \"*imgur.com*\""
}'
```
See [Metadata Filtering documentation](/vector/features/filtering) for more details.
- **Range Example**
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.range(
cursor="0",
limit=3,
include_metadata=True,
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.range({
cursor: "0",
limit: 3,
includeMetadata: true,
})
```
```go
package main
import (
"github.com/upstash/vector-go"
)
func main() {
index := vector.NewIndex("UPSTASH_VECTOR_REST_URL", "UPSTASH_VECTOR_REST_TOKEN")
index.Range(vector.Range{
Cursor: "0",
Limit: 3,
IncludeMetadata: true,
})
}
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\VectorRange;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->range(new VectorRange(
limit: 3,
includeMetadata: true,
));
```
```shell
curl $UPSTASH_VECTOR_REST_URL/range \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{ "cursor" : "0", "limit" : 3, "includeMetadata": true}'
```
```json
{
"result": {
"nextCursor": "4",
"vectors": [
{ "id": "id-0", "metadata": { "url": "https://imgur.com/z9AVZLb" } },
{ "id": "id-1", "metadata": { "url": "https://imgur.com/a2nCEIt" } },
{ "id": "id-2", "metadata": { "url": "https://imgur.com/zfOPmnI" } }
]
}
}
```
## Data
Data is another kind of information you can store per vector
to attribute some context to it. Compared to metadata, it is not
structured, and it can only be fetched in queries, not used
to further filter them.
It is especially useful when you upsert raw text data, so that you
would have access to the textual form of vector along with the
embedded vector values.
It can save you from storing contextual information per vector
in a separate database.
You can set both the metadata and data, or only one of them
while upserting your vectors as follows:
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.upsert(
[
{
"id": "id-0",
"vector": [0.9215, 0.3897],
"metadata": {"url": "https://imgur.com/z9AVZLb"},
"data": "data-0",
},
{
"id": "id-1",
"vector": [0.3897, 0.9215],
"data": "data-1",
},
],
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.upsert([
{
id: "id-0",
vector: [0.9215, 0.3897],
metadata: {"url": "https://imgur.com/z9AVZLb"},
data: "data-0",
},
{
id: "id-1",
vector: [0.3897, 0.9215],
data: "data-1",
},
])
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\VectorUpsert;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->upsertMany([
new VectorUpsert(
id: 'id-0',
vector: [0.9215, 0.3897],
data: 'data-0',
),
new VectorUpsert(
id: 'id-1',
vector: [0.3897, 0.9215],
data: 'data-1',
),
]);
```
```shell
curl $UPSTASH_VECTOR_REST_URL/upsert \
-X POST \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '[
{
"id": "id-0",
"vector": [0.9215, 0.3897],
"metadata": {"url": "https://imgur.com/z9AVZLb"},
"data": "data-0"
},
{
"id": "id-1",
"vector": [0.3897, 0.9215],
"data": "data-1"
}
]'
```
When a raw text data is upserted, the data will be set to
the raw text data automatically:
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
index.upsert(
[
{
"id": "id-2",
"data": "Upstash is a serverless data platform.",
},
],
)
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
await index.upsert([
{
id: "id-2",
data: "Upstash is a serverless data platform.",
}
])
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\DataUpsert;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$index->upsertData(new DataUpsert(
id: 'id-0',
data: 'Upstash is a serverless data platform.',
));
```
```shell
curl $UPSTASH_VECTOR_REST_URL/upsert-data \
-X POST \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{
"id": "id-0",
"data": "Upstash is a serverless data platform."
}'
```
```python
from upstash_vector import Index
index = Index(
url="UPSTASH_VECTOR_REST_URL",
token="UPSTASH_VECTOR_REST_TOKEN",
)
result = index.query(
data="What is Upstash?",
include_data=True,
)
for res in result:
print(f"{res.id}: {res.data}")
```
```js
import { Index } from "@upstash/vector"
const index = new Index({
url: "UPSTASH_VECTOR_REST_URL",
token: "UPSTASH_VECTOR_REST_TOKEN",
})
const result = await index.query({
data: "What is Upstash?",
includeData: true,
topK: 3
})
for (const vector of result) {
console.log(`${vector.id}: ${vector.data}`)
}
```
```php
use Upstash\Vector\Index;
use Upstash\Vector\DataQuery;
$index = new Index(
url: 'UPSTASH_VECTOR_REST_URL',
token: 'UPSTASH_VECTOR_REST_TOKEN',
);
$results = $index->queryData(new DataQuery(
data: 'Upstash is a serverless data platform.',
topK: 3
includeData: true,
));
foreach ($results as $result) {
print_r($result->toArray());
}
```
```shell
curl $UPSTASH_VECTOR_REST_URL/query-data \
-H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
-d '{
"data": "What is Upstash?",
"includeData": true,
}'
```
Similar to metadata, the data field can be requested in queries, range
iterator, and fetch requests, by setting the `includeData` to `true` as
shown above.