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Release 0.1.117 (#3411)
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docs/changelog.mdx

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<Tabs>
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<Tab title="Python">
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<Update label="2025-09-03" description="v0.1.117">
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**New Features & Updates:**
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- **OpenMemory:**
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- Added memory export / import feature
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- Added vector store integrations: Weaviate, FAISS, PGVector, Chroma, Redis, Elasticsearch, Milvus
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- Added `export_openmemory.sh` migration script
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- **Vector Stores:**
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- Added Amazon S3 Vectors support
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- Added Databricks Mosaic AI vector store support
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- Added support for OpenAI Store
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- **Graph Memory:** Added support for graph memory using Kuzu
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- **Azure:** Added Azure Identity for Azure OpenAI and Azure AI Search authentication
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- **Elasticsearch:** Added headers configuration support
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**Improvements:**
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- Added custom connection client to enable connecting to local containers for Weaviate
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- Updated configuration AWS Bedrock
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- Fixed dependency issues and tests; updated docstrings
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- **Documentation:**
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- Fixed Graph Docs page missing in sidebar
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- Updated integration documentation
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- Added version param in Search V2 API documentation
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- Updated Databricks documentation and refactored docs
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- Updated favicon logo
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- Fixed typos and Typescript docs
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**Bug Fixes:**
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- Baidu: Added missing provider for Baidu vector DB
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- MongoDB: Replaced `query_vector` args in search method
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- Fixed new memory mistaken for current
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- AsyncMemory._add_to_vector_store: handled edge case when no facts found
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- Fixed missing commas in Kuzu graph INSERT queries
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- Fixed inconsistent created and updated properties for Graph
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- Fixed missing `app_id` on client for Neptune Analytics
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- Correctly pick AWS region from environment variable
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- Fixed Ollama model existence check
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**Refactoring:**
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- **PGVector:** Use internal connection pools and context managers
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</Update>
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<Update label="2025-08-14" description="v0.1.116">
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**New Features & Updates:**
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<Tab title="Vercel AI SDK">
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<Update label="2025-09-03" description="v2.0.2">
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**Bug Fix:**
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- **Vercel AI SDK:** Fixed streaming response in the AI SDK.
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</Update>
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<Update label="2025-08-05" description="v2.0.1">
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**New Features:**
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- **Vercel AI SDK:** Added a new param `host` to the config.

docs/docs.json

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{
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"$schema": "https://mintlify.com/docs.json",
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"theme": "maple",
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"name": "Mem0",
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"description": "Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.",
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"colors": {
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},
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{
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"group": "Platform",
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"icon": "cogs",
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"icon": "globe",
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"pages": [
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"platform/overview",
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"platform/quickstart",
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"background": {
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"color": {
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"light": "#fff",
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"dark": "#0f1117"
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"dark": "#09090b"
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}
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},
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"navbar": {

docs/platform/features/advanced-retrieval.mdx

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Advanced Retrieval gives you precise control over how memories are found and ranked. While basic search uses semantic similarity, these advanced options help you find exactly what you need, when you need it.
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<CodeGroup>
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## Search Enhancement Options
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### Keyword Search

pyproject.toml

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[project]
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name = "mem0ai"
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version = "0.1.116"
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version = "0.1.117"
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description = "Long-term memory for AI Agents"
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authors = [
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{ name = "Mem0", email = "[email protected]" }

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