From ed5a1e9fc68fcd7671a70c33a540d24573755449 Mon Sep 17 00:00:00 2001 From: Parshva Daftari <89991302+parshvadaftari@users.noreply.github.com> Date: Fri, 26 Sep 2025 02:03:37 +0530 Subject: [PATCH] Update version to 0.1.118 (#3505) --- docs/changelog.mdx | 36 ++++++++++++++++++++++ docs/open-source/graph_memory/overview.mdx | 2 +- pyproject.toml | 2 +- 3 files changed, 38 insertions(+), 2 deletions(-) diff --git a/docs/changelog.mdx b/docs/changelog.mdx index 986ccfec5..5ac02f4e0 100644 --- a/docs/changelog.mdx +++ b/docs/changelog.mdx @@ -7,6 +7,42 @@ mode: "wide" + + +**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 + + + **New Features & Updates:** diff --git a/docs/open-source/graph_memory/overview.mdx b/docs/open-source/graph_memory/overview.mdx index 26b5c8293..6f318faa8 100644 --- a/docs/open-source/graph_memory/overview.mdx +++ b/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 diff --git a/pyproject.toml b/pyproject.toml index 8b9a060c6..036389efa 100644 --- a/pyproject.toml +++ b/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 = "founders@mem0.ai" }