Keep semantic search minimal in the README

Author: Shashikant86

README.md

@@ -19,7 +19,7 @@ StackOne AI provides a unified interface for accessing various SaaS tools throug
   - Glob pattern filtering with patterns like `"hris_*"` and exclusions `"!hris_delete_*"`
   - Provider and action filtering
   - Multi-account support
-- **Semantic Search**: AI-powered tool discovery using natural language (76.6% Hit@5 vs 66.0% for keyword search)
+- **Semantic Search**: AI-powered tool discovery using natural language queries
 - **Utility Tools** (Beta): Dynamic tool discovery and execution based on natural language queries
 - Integration with popular AI frameworks:
   - OpenAI Functions
@@ -328,30 +328,7 @@ result = execute_tool.call(toolName="hris_list_employees", params={"limit": 10})
 
 ## Semantic Search
 
-Search across 9,000+ actions using natural language instead of exact keyword matching.
-
-```python
-from stackone_ai import StackOneToolSet
-
-toolset = StackOneToolSet()
-
-# Find tools using natural language
-tools = toolset.search_tools("onboard a new team member", top_k=5)
-# Returns: create_employee, invite_employee, ...
-
-# Filter by connector
-tools = toolset.search_tools("send a message", connector="slack", top_k=3)
-```
-
-Semantic search understands intent and synonyms, so queries like "onboard a new team member", "check my to-do list", or "file a bug" return the right actions even when no keywords match.
-
-It can also power the `tool_search` utility tool for AI agents:
-
-```python
-tools = toolset.fetch_tools(account_ids=["your-account-id"])
-utility = tools.utility_tools(use_semantic_search=True)
-# AI agent gets semantic-powered tool_search + tool_execute
-```
+Semantic search allows tool discovery using natural language instead of exact keyword matching. It understands intent and synonyms, so queries like "fire someone" or "check my to-do list" resolve to the right actions. Enable it via `toolset.search_tools(query)` or pass `use_semantic_search=True` to utility tools.
 
 ## Examples