fix: sqlite_vec keyword implementation

Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>

docs/_static/llama-stack-spec.html

@@ -11601,7 +11601,6 @@
                     },
                     "max_chunks": {
                         "type": "integer",
-<<<<<<< HEAD
                         "default": 5,
                         "description": "Maximum number of chunks to retrieve."
                     },
@@ -11609,12 +11608,10 @@
                         "type": "string",
                         "default": "Result {index}\nContent: {chunk.content}\nMetadata: {metadata}\n",
                         "description": "Template for formatting each retrieved chunk in the context. Available placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk content string), {metadata} (chunk metadata dict). Default: \"Result {index}\\nContent: {chunk.content}\\nMetadata: {metadata}\\n\""
-=======
-                        "default": 5
                     },
                     "mode": {
-                        "type": "string"
->>>>>>> 1a0433d2 (feat (RAG): Implement configurable search mode in RAGQueryConfig)
+                        "type": "string",
+                        "description": "Search mode for retrieval—either \"vector\" or \"keyword\"."
                     }
                 },
                 "additionalProperties": false,

docs/_static/llama-stack-spec.yaml

@@ -8072,7 +8072,6 @@ components:
         max_chunks:
           type: integer
           default: 5
-<<<<<<< HEAD
           description: Maximum number of chunks to retrieve.
         chunk_template:
           type: string
@@ -8087,10 +8086,10 @@ components:
             placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk
             content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent:
             {chunk.content}\nMetadata: {metadata}\n"
-=======
         mode:
           type: string
->>>>>>> 1a0433d2 (feat (RAG): Implement configurable search mode in RAGQueryConfig)
+          description: >-
+            Search mode for retrieval—either "vector" or "keyword".
       additionalProperties: false
       required:
         - query_generator_config

docs/source/providers/vector_io/sqlite-vec.md

@@ -70,7 +70,7 @@ To use sqlite-vec in your Llama Stack project, follow these steps:
 
 The sqlite-vec provider supports both vector-based and keyword-based (full-text) search modes.
 
-When using the RAGTool interface, you can specify the desired search behavior via the search_mode parameter in
+When using the RAGTool interface, you can specify the desired search behavior via the `mode` parameter in
 `RAGQueryConfig`. For example:
 
 ```python