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Bump version to v0.1.5
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README.md

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[![License: MIT/Apache-2.0](https://img.shields.io/badge/License-MIT%2FApache--2.0-blue.svg)](LICENSE)
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[![Status: Beta](https://img.shields.io/badge/Status-Beta-brightgreen.svg)](#current-status)
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[![Version](https://img.shields.io/badge/Version-0.1.4-blue.svg)](https://github.com/anaslimem/CortexaDB/releases)
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[![Version](https://img.shields.io/badge/Version-0.1.5-blue.svg)](https://github.com/anaslimem/CortexaDB/releases)
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**CortexaDB** is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.
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Think of it as **SQLite, but with semantic and relational intelligence for your agents.**
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## What's New in v0.1.5
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- **Benchmark Suite** - Added comprehensive benchmarking with HNSW vs Exact comparison
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- **HNSW Performance Fix** - Fixed segmentation fault issue with usearch
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- **5x Speedup** - HNSW now runs ~5x faster than exact search with 95% recall
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## What's New in v0.1.4
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- **L2/Euclidean Distance** - Added support for L2 distance metric in HNSW
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## License & Status
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CortexaDB is currently in **Beta (v0.1.4)**. It is released under the **MIT** and **Apache-2.0** licenses.
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CortexaDB is currently in **Beta (v0.1.5)**. It is released under the **MIT** and **Apache-2.0** licenses.
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We are actively refining the API and welcome feedback!
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crates/cortexadb-core/Cargo.toml

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[package]
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name = "cortexadb-core"
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version = "0.1.4"
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version = "0.1.5"
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edition = "2021"
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authors = ["Anas Limem <limemanas0@gmail.com>"]
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description = "Fast, embedded vector + graph memory for AI agents"

crates/cortexadb-py/Cargo.toml

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[package]
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name = "cortexadb-py"
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version = "0.1.4"
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version = "0.1.5"
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edition = "2021"
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[lib]

crates/cortexadb-py/pyproject.toml

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[project]
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name = "cortexadb"
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version = "0.1.4"
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version = "0.1.5"
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requires-python = ">=3.9"
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description = "Fast, embedded vector + graph memory for AI agents"
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authors = [

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