chore: remove vector search and update to relevance-based text search

Author: spences10

.changeset/funny-shoes-pick.md

@@ -0,0 +1,5 @@
+---
+'mcp-memory-libsql': patch
+---
+
+drop vector search improve text search with relevance ranking

README.md

@@ -1,19 +1,19 @@
 # mcp-memory-libsql
 
 A high-performance, persistent memory system for the Model Context
-Protocol (MCP) powered by libSQL. This server provides vector search
-capabilities and efficient knowledge storage using libSQL as the
-backing store.
+Protocol (MCP) powered by libSQL with optimized text search for LLM
+context efficiency.
 
 <a href="https://glama.ai/mcp/servers/22lg4lq768">
   <img width="380" height="200" src="https://glama.ai/mcp/servers/22lg4lq768/badge" alt="Glama badge" />
 </a>
 
 ## Features
 
-- 🚀 High-performance vector search using libSQL
+- 🚀 High-performance text search with relevance ranking
 - 💾 Persistent storage of entities and relations
-- 🔍 Semantic search capabilities
+- 🔍 Flexible text search with fuzzy matching
+- 🎯 Context-optimized for LLM efficiency
 - 🔄 Knowledge graph management
 - 🌐 Compatible with local and remote libSQL databases
 - 🔒 Secure token-based authentication for remote databases
@@ -99,13 +99,14 @@ in the current directory.
 
 ## API
 
-The server implements the standard MCP memory interface with
-additional vector search capabilities:
+The server implements the standard MCP memory interface with optimized
+text search:
 
 - Entity Management
-  - Create/Update entities with embeddings
+  - Create/Update entities with observations
   - Delete entities
-  - Search entities by similarity
+  - Search entities by text with relevance ranking
+  - Explore entity relationships
 - Relation Management
   - Create relations between entities
   - Delete relations
@@ -115,10 +116,10 @@ additional vector search capabilities:
 
 The server uses a libSQL database with the following schema:
 
-- Entities table: Stores entity information and embeddings
+- Entities table: Stores entity information with timestamps
+- Observations table: Stores entity observations
 - Relations table: Stores relationships between entities
-- Vector search capabilities implemented using libSQL's built-in
-  vector operations
+- Text search with relevance ranking (name > type > observation)
 
 ## Development
 

package.json

@@ -1,7 +1,7 @@
 {
   "name": "mcp-memory-libsql",
   "version": "0.0.15",
-  "description": "LibSQL-based persistent memory tool for MCP",
+  "description": "LibSQL-based persistent memory tool for MCP with optimized text search",
   "license": "MIT",
   "type": "module",
   "main": "dist/index.js",
@@ -25,13 +25,12 @@
   "keywords": [
     "mcp",
     "memory",
-    "vector",
     "libsql",
     "knowledge-graph",
     "database",
-    "vector-search",
-    "semantic-search",
-    "knowledge-management"
+    "text-search",
+    "knowledge-management",
+    "relevance-ranking"
   ],
   "scripts": {
     "build": "tsc && chmod +x dist/index.js",
@@ -64,4 +63,4 @@
   "volta": {
     "node": "22.20.0"
   }
-}
+}