updated qdrant

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

docs/_static/llama-stack-spec.html

@@ -11296,9 +11296,6 @@
                     }
                 },
                 "additionalProperties": false,
-                "required": [
-                    "chunk_id"
-                ],
                 "title": "ChunkMetadata",
                 "description": "`ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that     will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata`     is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after.     Use `Chunk.metadata` for metadata that will be used in the context during inference."
             },

docs/_static/llama-stack-spec.yaml

@@ -7960,8 +7960,6 @@ components:
           description: >-
             The number of tokens in the metadata of the chunk.
       additionalProperties: false
-      required:
-        - chunk_id
       title: ChunkMetadata
       description: >-
         `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional

llama_stack/apis/vector_io/vector_io.py

@@ -41,7 +41,7 @@ class ChunkMetadata(BaseModel):
     :param metadata_token_count: The number of tokens in the metadata of the chunk.
     """
 
-    chunk_id: str = None
+    chunk_id: str | None = None
     document_id: str | None = None
     source: str | None = None
     created_timestamp: int | None = None

llama_stack/providers/remote/vector_io/qdrant/qdrant.py

@@ -71,12 +71,8 @@ class QdrantIndex(EmbeddingIndex):
             )
 
         points = []
-        for i, (chunk, embedding) in enumerate(zip(chunks, embeddings, strict=False)):
-            chunk_id = (
-                f"{chunk.metadata.get('document_id')}:chunk-{i}"
-                if chunk.metadata
-                else f"{chunk.chunk_metadata.document_id}:chunk-{i}"
-            )
+        for _i, (chunk, embedding) in enumerate(zip(chunks, embeddings, strict=False)):
+            chunk_id = chunk.chunk_id
             points.append(
                 PointStruct(
                     id=convert_id(chunk_id),