diff --git a/packages/time-series/README.md b/packages/time-series/README.md
index a9c8c081810..5923979cd48 100644
--- a/packages/time-series/README.md
+++ b/packages/time-series/README.md
@@ -4,4 +4,148 @@ This package provides support for the [RedisTimeSeries](https://redistimeseries.
 
 To use these extra commands, your Redis server must have the RedisTimeSeries module installed.
 
-For an example of how to add values to a time series, query a time series, and perform aggregated queries against a time series, see `time-series.js` in the Node Redis examples folder.
+## Usage
+
+For a complete example, see [`time-series.js`](https://github.com/redis/node-redis/blob/master/examples/time-series.js) in the Node Redis examples folder.
+
+### Creating Time Series data structure in Redis
+
+The [`TS.CREATE`](https://oss.redis.com/redistimeseries/commands/#tscreate) command creates a new time series.
+
+Here, we'll create a new time series "`temperature`":
+
+```javascript
+
+import { createClient } from 'redis';
+import { TimeSeriesDuplicatePolicies, TimeSeriesEncoding, TimeSeriesAggregationType } from '@redis/time-series';
+
+...
+
+ const created = await client.ts.create('temperature', {
+    RETENTION: 86400000, // 1 day in milliseconds
+    ENCODING: TimeSeriesEncoding.UNCOMPRESSED, // No compression - When not specified, the option is set to COMPRESSED
+    DUPLICATE_POLICY: TimeSeriesDuplicatePolicies.BLOCK, // No duplicates - When not specified: set to the global DUPLICATE_POLICY configuration of the database (which by default, is BLOCK).
+  });
+
+    if (created === 'OK') {
+    console.log('Created timeseries.');
+  } else {
+    console.log('Error creating timeseries :(');
+    process.exit(1);
+  }
+
+```
+
+### Adding new value to a Time Series data structure in Redis
+
+With RedisTimeSeries, we can add a single value to time series data structure using the [`TS.ADD`](https://redis.io/commands/ts.add/) command and if we would like to add multiple values we can use the [`TS.MADD`](https://redis.io/commands/ts.madd/) command.
+
+```javascript
+
+let value = Math.floor(Math.random() * 1000) + 1; // Random data point value
+  let currentTimestamp = 1640995200000; // Jan 1 2022 00:00:00
+  let num = 0;
+
+  while (num < 10000) {
+    // Add a new value to the timeseries, providing our own timestamp:
+    // https://redis.io/commands/ts.add/
+    await client.ts.add('temperature', currentTimestamp, value);
+    console.log(`Added timestamp ${currentTimestamp}, value ${value}.`);
+
+    num += 1;
+    value = Math.floor(Math.random() * 1000) + 1; // Get another random value
+    currentTimestamp += 1000; // Move on one second.
+  }
+
+  // Add multiple values to the timeseries in round trip to the server:
+  // https://redis.io/commands/ts.madd/
+  const response = await client.ts.mAdd([{
+    key: 'temperature',
+    timestamp: currentTimestamp + 60000,
+    value: Math.floor(Math.random() * 1000) + 1
+  }, {
+    key: 'temperature',
+    timestamp: currentTimestamp + 120000,
+    value: Math.floor(Math.random() * 1000) + 1
+  }]);
+
+
+```
+
+### Retrieving Time Series data from Redis
+
+With RedisTimeSeries, we can retrieve the time series data using the [`TS.RANGE`](https://redis.io/commands/ts.range/) command by passing the criteria as follows:
+
+```javascript
+
+// Query the timeseries with TS.RANGE:
+  // https://redis.io/commands/ts.range/
+  const fromTimestamp = 1640995200000; // Jan 1 2022 00:00:00
+  const toTimestamp = 1640995260000; // Jan 1 2022 00:01:00
+  const rangeResponse = await client.ts.range('temperature', fromTimestamp, toTimestamp, {
+    // Group into 10 second averages.
+    AGGREGATION: {
+      type: TimeSeriesAggregationType.AVERAGE,
+      timeBucket: 10000
+    }
+  });
+
+  console.log('RANGE RESPONSE:');
+  // rangeResponse looks like:
+  // [
+  //   { timestamp: 1640995200000, value: 356.8 },
+  //   { timestamp: 1640995210000, value: 534.8 },
+  //   { timestamp: 1640995220000, value: 481.3 },
+  //   { timestamp: 1640995230000, value: 437 },
+  //   { timestamp: 1640995240000, value: 507.3 },
+  //   { timestamp: 1640995250000, value: 581.2 },
+  //   { timestamp: 1640995260000, value: 600 }
+  // ]
+
+```
+
+### Altering Time Series data Stored in Redis
+
+RedisTimeSeries includes commands that can update values in a time series data structure.
+
+Using the [`TS.ALTER`](https://redis.io/commands/ts.alter/) command, we can update time series retention like this:
+
+```javascript
+
+  // https://redis.io/commands/ts.alter/
+  const alterResponse = await client.ts.alter('temperature', {
+    RETENTION: 0 // Keep the entries forever
+  });
+
+```
+
+### Retrieving Information about the timeseries Stored in Redis
+
+RedisTimeSeries also includes commands that can help to view the information on the state of a time series.
+
+Using the [`TS.INFO`](https://redis.io/commands/ts.info/) command, we can view timeseries information like this:
+
+```javascript
+
+ // Get some information about the state of the timeseries.
+  // https://redis.io/commands/ts.info/
+  const tsInfo = await client.ts.info('temperature');
+
+  // tsInfo looks like this:
+  // {
+  //   totalSamples: 1440,
+  //   memoryUsage: 28904,
+  //   firstTimestamp: 1641508920000,
+  //   lastTimestamp: 1641595320000,
+  //   retentionTime: 86400000,
+  //   chunkCount: 7,
+  //   chunkSize: 4096,
+  //   chunkType: 'uncompressed',
+  //   duplicatePolicy: 'block',
+  //   labels: [],
+  //   sourceKey: null,
+  //   rules: []
+  // }
+
+```
+