diff --git a/apps/docs/search/overview.mdx b/apps/docs/search/overview.mdx
deleted file mode 100644
index 75b9f2cb..00000000
--- a/apps/docs/search/overview.mdx
+++ /dev/null
@@ -1,87 +0,0 @@
----
-title: Search memories
-description: Search through your stored memories and documents using semantic search
----
-
-The v4 search API allows you to search through your stored memories and documents using semantic search. It supports two search modes: memories-only search and hybrid search.
-
-## Search modes
-
-### Memories mode (default)
-
-Searches only through memory entries that have been stored in your organization. This is the default mode and is optimized for finding specific memories.
-
-```json
-{
-  "q": "What are John's preferences?",
-  "searchMode": "memories"
-}
-```
-
-### Hybrid mode
-
-Hybrid search provides a fallback mechanism when memories don't contain the information you're looking for. It works in two stages:
-
-1. **Memory search**: First searches through your stored memories
-2. **Chunk fallback**: If no or insufficient memories are found, searches through document chunks
-
-This mode is useful when you want comprehensive results that include both structured memories and raw document content.
-
-```json
-{
-  "q": "What are John's preferences?",
-  "searchMode": "hybrid"
-}
-```
-
-## How hybrid search works
-
-When using hybrid search mode:
-
-1. The system performs a semantic search across your memory entries
-2. In parallel, it searches through document chunks using vector similarity
-3. Results are merged and sorted by similarity score
-4. Duplicate chunks (those already associated with memory results) are automatically removed
-5. The top results are returned, respecting your specified limit
-
-This approach ensures you get the most relevant information whether it's stored as a structured memory or within a document chunk.
-
-## Key features
-
-- **Semantic search**: Uses embeddings to find semantically similar content
-- **Query rewriting**: Optionally rewrites queries for better search results
-- **Reranking**: Optionally reranks results for improved relevance
-- **Filtering**: Filter by metadata, date ranges, and container tags
-- **Context inclusion**: Include related memories, documents, and chunks
-- **Temporal context**: Include memories created before/after results
-
-## Quick example
-
-```bash
-curl -X POST https://api.supermemory.ai/v4/search \
-  -H "Authorization: Bearer YOUR_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "q": "machine learning preferences",
-    "searchMode": "hybrid",
-    "limit": 10,
-    "threshold": 0.7
-  }'
-```
-
-## Next steps
-
-<CardGroup cols={2}>
-  <Card title="Parameters" icon="sliders" href="/search/parameters">
-    Learn about all available search parameters
-  </Card>
-  <Card title="Response schema" icon="brackets-curly" href="/search/response-schema">
-    Understand the response structure
-  </Card>
-  <Card title="Examples" icon="code" href="/search/examples/memory-search">
-    See practical examples
-  </Card>
-  <Card title="Filtering" icon="filter" href="/search/filtering">
-    Learn about advanced filtering
-  </Card>
-</CardGroup>