docs: update docs to reference search_notes instead of search

Signed-off-by: phernandez <paul@basicmachines.co>

Author: phernandez

CLAUDE.md

@@ -107,15 +107,15 @@ See the [README.md](README.md) file for a project overview.
       1d", "1 week")
 
   **Search & Discovery:**
-    - `search(query, page, page_size)` - Full-text search across all content with filtering options
+    - `search_notes(query, page, page_size)` - Full-text search across all content with filtering options
 
   **Visualization:**
     - `canvas(nodes, edges, title, folder)` - Generate Obsidian canvas files for knowledge graph visualization
 
 - MCP Prompts for better AI interaction:
     - `ai_assistant_guide()` - Guidance on effectively using Basic Memory tools for AI assistants
     - `continue_conversation(topic, timeframe)` - Continue previous conversations with relevant historical context
-    - `search(query, after_date)` - Search with detailed, formatted results for better context understanding
+    - `search_notes(query, after_date)` - Search with detailed, formatted results for better context understanding
     - `recent_activity(timeframe)` - View recently changed items with formatted output
     - `json_canvas_spec()` - Full JSON Canvas specification for Obsidian visualization
 

README.md

@@ -285,7 +285,8 @@ for OS X):
 }
 ```
 
-If you want to use a specific project (see [Multiple Projects](docs/User%20Guide.md#multiple-projects)), update your Claude Desktop
+If you want to use a specific project (see [Multiple Projects](docs/User%20Guide.md#multiple-projects)), update your
+Claude Desktop
 config:
 
 ```json
@@ -320,7 +321,7 @@ basic-memory sync --watch
 write_note(title, content, folder, tags) - Create or update notes
 read_note(identifier, page, page_size) - Read notes by title or permalink
 build_context(url, depth, timeframe) - Navigate knowledge graph via memory:// URLs
-search(query, page, page_size) - Search across your knowledge base
+search_notes(query, page, page_size) - Search across your knowledge base
 recent_activity(type, depth, timeframe) - Find recently updated information
 canvas(nodes, edges, title, folder) - Generate knowledge visualizations
 ```

docs/AI Assistant Guide.md

@@ -53,7 +53,7 @@ content = await read_note("specs/search-design")       # By path
 content = await read_note("memory://specs/search")     # By memory URL
 
 # Searching for knowledge
-results = await search(
+results = await search_notes(
     query="authentication system",      # Text to search for
     page=1,                             # Optional: Pagination
     page_size=10                        # Optional: Results per page
@@ -154,7 +154,7 @@ Users will interact with Basic Memory in patterns like:
    Human: "What were our decisions about auth?"
    
    You: Let me find that information for you.
-   [Use search() to find relevant notes]
+   [Use search_notes() to find relevant notes]
    [Then build_context() to understand connections]
    ```
 
@@ -251,7 +251,7 @@ When creating relations, you can:
 # Example workflow for creating notes with effective relations
 async def create_note_with_effective_relations():
     # Search for existing entities to reference
-    search_results = await search("travel")
+    search_results = await search_notes("travel")
     existing_entities = [result.title for result in search_results.primary_results]
 
     # Check if specific entities exist
@@ -323,7 +323,7 @@ Common issues to watch for:
        content = await read_note("Document")
    except:
        # Try search instead
-       results = await search("Document")
+       results = await search_notes("Document")
        if results and results.primary_results:
            # Found something similar
            content = await read_note(results.primary_results[0].permalink)
@@ -369,7 +369,7 @@ Common issues to watch for:
    - **Create deliberate relations**: Connect each note to at least 2-3 related entities
    - **Use existing entities**: Before creating a new relation, search for existing entities
    - **Verify wikilinks**: When referencing `[[Entity]]`, use exact titles of existing notes
-   - **Check accuracy**: Use `search()` or `recent_activity()` to confirm entity titles
+   - **Check accuracy**: Use `search_notes()` or `recent_activity()` to confirm entity titles
    - **Use precise relation types**: Choose specific relation types that convey meaning (e.g., "implements" instead of "relates_to")
    - **Consider bidirectional relations**: When appropriate, create inverse relations in both entities
 

docs/Technical Information.md

@@ -196,7 +196,7 @@ flowchart TD
     end
     
     BMCP <-->|"write_note() read_note()"| KnowledgeFiles
-    BMCP <-->|"search() build_context()"| KnowledgeIndex
+    BMCP <-->|"search_notes() build_context()"| KnowledgeIndex
     KnowledgeFiles <-.->|Sync Process| KnowledgeIndex
     KnowledgeFiles <-->|Direct Editing| Editors((Text Editors & Git))
     

static/ai_assistant_guide.md

@@ -49,7 +49,7 @@ content = await read_note("specs/search-design")  # By path
 content = await read_note("memory://specs/search")  # By memory URL
 
 # Searching for knowledge
-results = await search(
+results = await search_notes(
     query="authentication system",  # Text to search for
     page=1,  # Optional: Pagination
     page_size=10  # Optional: Results per page
@@ -154,7 +154,7 @@ Users will interact with Basic Memory in patterns like:
    Human: "What were our decisions about auth?"
    
    You: Let me find that information for you.
-   [Use search() to find relevant notes]
+   [Use search_notes() to find relevant notes]
    [Then build_context() to understand connections]
    ```
 
@@ -263,7 +263,7 @@ When creating relations, you can:
 # Example workflow for creating notes with effective relations
 async def create_note_with_effective_relations():
     # Search for existing entities to reference
-    search_results = await search("travel")
+    search_results = await search_notes("travel")
     existing_entities = [result.title for result in search_results.primary_results]
 
     # Check if specific entities exist
@@ -335,7 +335,7 @@ Common issues to watch for:
        content = await read_note("Document")
    except:
        # Try search instead
-       results = await search("Document")
+       results = await search_notes("Document")
        if results and results.primary_results:
            # Found something similar
            content = await read_note(results.primary_results[0].permalink)
@@ -381,7 +381,7 @@ Common issues to watch for:
     - **Create deliberate relations**: Connect each note to at least 2-3 related entities
     - **Use existing entities**: Before creating a new relation, search for existing entities
     - **Verify wikilinks**: When referencing `[[Entity]]`, use exact titles of existing notes
-    - **Check accuracy**: Use `search()` or `recent_activity()` to confirm entity titles
+    - **Check accuracy**: Use `search_notes()` or `recent_activity()` to confirm entity titles
     - **Use precise relation types**: Choose specific relation types that convey meaning (e.g., "implements" instead
       of "relates_to")
     - **Consider bidirectional relations**: When appropriate, create inverse relations in both entities