Update README.md

README.md

@@ -14,18 +14,11 @@
 
 ⚡ **Fast, memory-efficient, easily scales to millions of vectors.**
 
-⚡ **Supports cosine similarity and L2 distance, uses FLAT for exhaustive search or IVF-FLAT for inverted indexing.**
-
 ⚡ **Friendly caching technology stores recently queried vectors for accelerated access.**
 
 ⚡ **Based on a generic Python software stack, platform-independent, highly versatile.**
 
-*MinVectorDB* is a vector database implemented purely in Python, designed to be lightweight, server-optional, and easy to deploy locally or remotely. It offers straightforward and clear Python APIs, aiming to lower the entry barrier for using vector databases. In response to user needs and to enhance its practicality, we are planning to introduce new features, including but not limited to:
-
-- **Optimizing Global Search Performance**: We are focusing on algorithm and data structure enhancements to speed up searches across the database, enabling faster retrieval of vector data.
-- **Enhancing Cluster Search with Inverted Indexes**: Utilizing inverted index technology, we aim to refine the cluster search process for better search efficiency and precision.
-- **Refining Clustering Algorithms**: By improving our clustering algorithms, we intend to offer more precise and efficient data clustering to support complex queries.
-- **Facilitating Vector Modifications and Deletions**: We will introduce features to modify and delete vectors, allowing for more flexible data management.
+*MinVectorDB* is a vector database implemented purely in Python, designed to be lightweight, server-optional, and easy to deploy locally or remotely. It offers straightforward and clear Python APIs, aiming to lower the entry barrier for using vector databases. 
 
 MinVectorDB focuses on achieving 100% recall, prioritizing recall accuracy over high-speed search performance. This approach ensures that users can reliably retrieve all relevant vector data, making MinVectorDB particularly suitable for applications that require responses within hundreds of milliseconds.