Update version to 0.1.118 (#3505)

Author: parshvadaftari

docs/changelog.mdx

@@ -7,6 +7,42 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
+<Update label="2025-09-25" description="v0.1.118">
+
+**New Features & Updates:**
+- **Vector Stores:**
+  - Added Valkey vector store support
+  - Added support for ChromaDB Cloud
+  - Added Mem0 vector store backend integration for Neptune Analytics
+- **Graph Store:**
+  - Added Neptune-DB graph store with vector store
+- **Core:**
+  - Implemented structured exception classes with error codes and suggested actions
+
+**Improvements:**
+- **Dependencies:**
+  - Updated OpenAI dependency and improved Ollama compatibility
+- **Testing:**
+  - Added Weaviate DB test
+  - Added comprehensive test suite for SQLiteManager
+- **Documentation:**
+  - Updated category docs
+  - Updated Search V2 / Get All V2 filters documentation
+  - Refactored AWS example title
+  - Fixed Quickstart cURL example
+
+**Bug Fixes:**
+- **Vector Stores:**
+  - Databricks bug fixes
+  - Fixed S3 Vectors memory initialization issue from configuration
+- **Core:**
+  - Fixed JSON parsing with new memories
+  - Replaced hardcoded LLM provider with provider from configuration
+- **LLMs:**
+  - Fixed Bedrock Anthropic models to use system field
+
+</Update>
+
 <Update label="2025-09-03" description="v0.1.117">
 
 **New Features & Updates:**

docs/open-source/graph_memory/overview.mdx

@@ -324,7 +324,7 @@ Troubleshooting:
 
 - For issues connecting to Amazon Neptune Analytics, please refer to the [Accessing graph data in Amazon Neptune](https://docs.aws.amazon.com/neptune/latest/userguide/get-started-access-graph.html).
 - For issues related to authentication, refer to the [boto3 client configuration options](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html).
-- For more details on how to connect, configure, and use the graph_memory graph store, see the [Neptune DB example notebook](examples/graph-db-demo/neptune-example.ipynb).
+- For more details on how to connect, configure, and use the graph_memory graph store, see the [Neptune DB example notebook](https://github.com/mem0ai/mem0/blob/main/examples/graph-db-demo/neptune-example.ipynb).
 - The Neptune memory store uses AWS LangChain Python API to connect to Neptune instances.  For additional configuration options for connecting to your Amazon Neptune Analytics instance, see [AWS LangChain API documentation](https://python.langchain.com/api_reference/aws/graphs/langchain_aws.graphs.neptune_graph.NeptuneGraph.html).
 
 ### Initialize Kuzu

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0ai"
-version = "0.1.117"
+version = "0.1.118"
 description = "Long-term memory for AI Agents"
 authors = [
     { name = "Mem0", email = "[email protected]" }