Fix azure ai vector store (#2396)

docs/components/vectordbs/dbs/azure_ai_search.mdx

@@ -33,17 +33,6 @@ messages = [
 m.add(messages, user_id="alice", metadata={"category": "movies"})
 ```
 
-## Advanced Usage
-
-```python
-# Search with specific filter mode
-result = m.search(
-    "sci-fi movies", 
-    filters={"user_id": "alice"}, 
-    limit=5,
-    vector_filter_mode="preFilter"  # Apply filters before vector search
-)
-
 # Using binary compression for large vector collections
 config = {
     "vector_store": {
@@ -78,10 +67,6 @@ config = {
   - `scalar`: Scalar quantization with reasonable balance of speed and accuracy
   - `binary`: Binary quantization for maximum compression with some accuracy trade-off
 
-- **vector_filter_mode**:
-  - `preFilter`: Applies filters before vector search (faster)
-  - `postFilter`: Applies filters after vector search (may provide better relevance)
-
 - **use_float16**: Using half precision (float16) reduces storage requirements but may slightly impact accuracy. Useful for very large vector collections.
 
 - **Filterable Fields**: The implementation automatically extracts `user_id`, `run_id`, and `agent_id` fields from payloads for filtering.

mem0/vector_stores/azure_ai_search.py

@@ -169,7 +169,7 @@ class AzureAISearch(VectorStoreBase):
         ]
         response = self.search_client.upload_documents(documents)
         for doc in response:
-            if not doc.get("status", False):
+            if not hasattr(doc, "status_code") and doc.get("status_code") != 201:
                 raise Exception(f"Insert failed for document {doc.get('id')}: {doc}")
         return response
 
@@ -189,7 +189,7 @@ class AzureAISearch(VectorStoreBase):
         filter_expression = " and ".join(filter_conditions)
         return filter_expression
 
-    def search(self, query, limit=5, filters=None, vector_filter_mode="preFilter"):
+    def search(self, query, limit=5, filters=None):
         """
         Search for similar vectors.
 
@@ -197,8 +197,6 @@ class AzureAISearch(VectorStoreBase):
             query (List[float]): Query vector.
             limit (int, optional): Number of results to return. Defaults to 5.
             filters (Dict, optional): Filters to apply to the search. Defaults to None.
-            vector_filter_mode (str): Determines whether filters are applied before or after the vector search.
-                Known values: "preFilter" (default) and "postFilter".
 
         Returns:
             List[OutputData]: Search results.
@@ -213,8 +211,7 @@ class AzureAISearch(VectorStoreBase):
         search_results = self.search_client.search(
             vector_queries=[vector_query],
             filter=filter_expression,
-            top=limit,
+            top=limit
-            vector_filter_mode=vector_filter_mode,  
         )
 
         results = []
@@ -236,7 +233,7 @@ class AzureAISearch(VectorStoreBase):
         """
         response = self.search_client.delete_documents(documents=[{"id": vector_id}])
         for doc in response:
-            if not doc.get("status", False):
+            if not hasattr(doc, "status_code") and doc.get("status_code") != 200:
                 raise Exception(f"Delete failed for document {vector_id}: {doc}")
         logger.info(f"Deleted document with ID '{vector_id}' from index '{self.index_name}'.")
         return response
@@ -260,7 +257,7 @@ class AzureAISearch(VectorStoreBase):
                 document[field] = payload.get(field)
         response = self.search_client.merge_or_upload_documents(documents=[document])
         for doc in response:
-            if not doc.get("status", False):
+            if not hasattr(doc, "status_code") and doc.get("status_code") != 200:
                 raise Exception(f"Update failed for document {vector_id}: {doc}")
         return response
 
@@ -335,7 +332,7 @@ class AzureAISearch(VectorStoreBase):
                     id=result["id"], score=result["@search.score"], payload=payload
                 )
             )
-        return results
+        return [results]
 
     def __del__(self):
         """Close the search client when the object is deleted."""

poetry.lock

@@ -7,7 +7,7 @@ description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
     {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
@@ -20,7 +20,7 @@ description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "aiohttp-3.11.13-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a4fe27dbbeec445e6e1291e61d61eb212ee9fed6e47998b27de71d70d3e8777d"},
     {file = "aiohttp-3.11.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9e64ca2dbea28807f8484c13f684a2f761e69ba2640ec49dacd342763cc265ef"},
@@ -125,7 +125,7 @@ description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -189,7 +189,7 @@ description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
     {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
@@ -508,7 +508,7 @@ description = "A list-like structure which implements collections.abc.MutableSeq
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -1160,7 +1160,7 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "langchain-0.3.19-py3-none-any.whl", hash = "sha256:1e16d97db9106640b7de4c69f8f5ed22eeda56b45b9241279e83f111640eff16"},
     {file = "langchain-0.3.19.tar.gz", hash = "sha256:b96f8a445f01d15d522129ffe77cc89c8468dbd65830d153a676de8f6b899e7b"},
@@ -1199,6 +1199,46 @@ openai = ["langchain-openai"]
 together = ["langchain-together"]
 xai = ["langchain-xai"]
 
+[[package]]
+name = "langchain"
+version = "0.3.20"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and python_version < \"3.12\" and extra == \"graph\""
+files = [
+    {file = "langchain-0.3.20-py3-none-any.whl", hash = "sha256:273287f8e61ffdf7e811cf8799e6a71e9381325b8625fd6618900faba79cfdd0"},
+    {file = "langchain-0.3.20.tar.gz", hash = "sha256:edcc3241703e1f6557ef5a5c35cd56f9ccc25ff12e38b4829c66d94971737a93"},
+]
+
+[package.dependencies]
+async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
+langchain-core = ">=0.3.41,<1.0.0"
+langchain-text-splitters = ">=0.3.6,<1.0.0"
+langsmith = ">=0.1.17,<0.4"
+pydantic = ">=2.7.4,<3.0.0"
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+
+[package.extras]
+anthropic = ["langchain-anthropic"]
+aws = ["langchain-aws"]
+cohere = ["langchain-cohere"]
+community = ["langchain-community"]
+deepseek = ["langchain-deepseek"]
+fireworks = ["langchain-fireworks"]
+google-genai = ["langchain-google-genai"]
+google-vertexai = ["langchain-google-vertexai"]
+groq = ["langchain-groq"]
+huggingface = ["langchain-huggingface"]
+mistralai = ["langchain-mistralai"]
+ollama = ["langchain-ollama"]
+openai = ["langchain-openai"]
+together = ["langchain-together"]
+xai = ["langchain-xai"]
+
 [[package]]
 name = "langchain-core"
 version = "0.3.40"
@@ -1206,7 +1246,7 @@ description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "langchain_core-0.3.40-py3-none-any.whl", hash = "sha256:9f31358741f10a13db8531e8288b8a5ae91904018c5c2e6f739d6645a98fca03"},
     {file = "langchain_core-0.3.40.tar.gz", hash = "sha256:893a238b38491967c804662c1ec7c3e6ebaf223d1125331249c3cf3862ff2746"},
@@ -1224,6 +1264,28 @@ PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 typing-extensions = ">=4.7"
 
+[[package]]
+name = "langchain-core"
+version = "0.3.45"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and python_version < \"3.12\" and extra == \"graph\""
+files = [
+    {file = "langchain_core-0.3.45-py3-none-any.whl", hash = "sha256:fe560d644c102c3f5dcfb44eb5295e26d22deab259fdd084f6b1b55a0350b77c"},
+    {file = "langchain_core-0.3.45.tar.gz", hash = "sha256:a39b8446495d1ea97311aa726478c0a13ef1d77cb7644350bad6d9d3c0141a0c"},
+]
+
+[package.dependencies]
+jsonpatch = ">=1.33,<2.0"
+langsmith = ">=0.1.125,<0.4"
+packaging = ">=23.2,<25"
+pydantic = {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""}
+PyYAML = ">=5.3"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
+typing-extensions = ">=4.7"
+
 [[package]]
 name = "langchain-neo4j"
 version = "0.4.0"
@@ -1307,7 +1369,7 @@ description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -1470,7 +1532,7 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version <= \"3.12\""
+markers = "python_version < \"3.10\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -1517,7 +1579,7 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version >= \"3.13\""
+markers = "python_version >= \"3.10\""
 files = [
     {file = "numpy-2.2.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8146f3550d627252269ac42ae660281d673eb6f8b32f113538e0cc2a9aed42b9"},
     {file = "numpy-2.2.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e642d86b8f956098b564a45e6f6ce68a22c2c97a04f5acd3f221f57b8cb850ae"},
@@ -1774,7 +1836,7 @@ description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "propcache-0.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:efa44f64c37cc30c9f05932c740a8b40ce359f51882c70883cc95feac842da4d"},
     {file = "propcache-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2383a17385d9800b6eb5855c2f05ee550f803878f344f58b6e194de08b96352c"},
@@ -2676,7 +2738,7 @@ description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"graph\""
+markers = "(python_version < \"3.10\" or python_version >= \"3.12\") and extra == \"graph\""
 files = [
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"},

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "mem0ai"
-version = "0.1.69"
+version = "0.1.70"
 description = "Long-term memory for AI Agents"
 authors = ["Mem0 <founders@mem0.ai>"]
 exclude = [