Update 8-0.md

Author: ViktarStarastsenka

content/develop/whats-new/8-0.md

@@ -13,9 +13,11 @@ linkTitle: What's new in Redis 8
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-Redis 8 introduces major new capabilities with eight additional data structures, including vector set (beta), JSON, time series, and five probabilistic data structures: Bloom filter, Cuckoo filter, Count-Min Sketch, Top-K, and T-Digest. Some of these were previously available as separate modules and are now integrated into Redis Open Source, making it easier than ever to build fast, scalable, real-time applications.
+Redis 8 introduces major new capabilities, including eight additional data structures—Vector Set (beta), JSON, Time Series, and five probabilistic data types: Bloom Filter, Cuckoo Filter, Count-Min Sketch, Top-K, and T-Digest. Some of these were previously available only as Redis modules and are now fully integrated into Redis 8, simplifying deployment and unlocking new use cases in real-time analytics, caching, and AI-powered applications.
 
-In addition, Redis Community Edition has been renamed to Redis Open Source, reflecting a unified and modern distribution that delivers the full capabilities of Redis to the community.
+Redis 8 also includes the Redis Query Engine, enabling advanced secondary indexing, full-text and vector search, and complex queries across JSON and hash data types. This makes Redis a more powerful and flexible real-time data platform for modern apps.
+
+In addition, Redis Community Edition has been renamed to Redis Open Source, reflecting a unified and modern distribution that delivers the full capabilities of Redis to the community—no modules, no fragmentation, just Redis.
 
 Below is a detailed breakdown of these updates.
 
@@ -29,7 +31,7 @@ Redis Stack partially solved this by bundling modules together, but it also crea
 Redis 8 merges Redis Stack and Redis Community Edition into a single unified distribution: Redis Open Source. All previously modular functionality is now built into the Redis Open Source package, eliminating the need to manage separate modules. You now get a single, consistent feature set across all deployments.
 
 #### Vector set [beta]
-The new `VECTOR` data structure supports high-dimensional vector similarity search, which is ideal for AI use cases such as semantic search and recommendation systems. Vector set complements Redis’s existing vector search capabilities via the Query Engine and is currently available in beta. APIs and behaviors may change before general availability.
+The new `Vector set` data structure supports high-dimensional vector similarity search, which is ideal for AI use cases such as semantic search and recommendation systems. Vector set complements Redis’s existing vector search capabilities via the Query Engine and is currently available in beta. APIs and behaviors may change in future releases.
 
 #### JSON
 Redis 8 introduces a native JSON data structure, enabling you to store and manipulate hierarchical documents directly. JSONPath expressions are supported for targeted reads and updates. Atomic operations allow modification of individual fields without fetching the entire document, making it ideal for session management, user profiles, and modern web applications.
@@ -43,7 +45,7 @@ Redis 8 expands on HyperLogLog by adding five additional probabilistic data stru
 - Bloom Filter and Cuckoo Filter: Efficient membership checks in large streams
 - Count-Min Sketch: Approximate frequency estimation of elements
 - Top-K: Identifies the most frequent elements
-- T-Digest: Enables quantile estimation and percentile queries
+- t-Digest: Enables quantile estimation and percentile queries
 
 These structures trade absolute accuracy for significant performance and memory gains, and are ideal for streaming and telemetry workloads.
 ### Query Enhancements
@@ -64,12 +66,12 @@ Access Control Lists (ACLs) have been updated to support the new data structures
 These updates allow for more precise control over which operations users can perform on each data structure.
 
 ### New hash commands
-Redis 8 builds on Redis 7.4’s introduction of field-level expiration in hashes and adds three new commands:
-- [HGETDEL](https://redis.io/docs/latest/commands/hgetdel/): Fetch and delete a hash field
+Redis 8 builds on Redis 7.4’s introduction of field-level expiration in hashes and adds three new commands for working with hashes:
 - [HGETEX](https://redis.io/docs/latest/commands/hgetex/): Fetch a hash field and optionally set an expiration
 - [HSETEX](https://redis.io/docs/latest/commands/hsetex/): Set a hash field and optionally set an expiration
+- [HGETDEL](https://redis.io/docs/latest/commands/hgetdel/): Fetch and delete a hash field
 
-These commands improve ergonomics for caching and session-management scenarios.
+These commands simplify common patterns used in caching and session management.
 
 ### Performance improvements
 Redis 8 delivers the largest performance leap in Redis history with over 30 optimizations, including: