_# AjatusMemory

AjatusMemory is the memory component of the Ajatuskumppani project. It provides a long-term memory for the AI, allowing it to learn from user interactions and build a persistent user profile.

Features

• Vector Store: Uses pgvector and FAISS for efficient storage and retrieval of vector embeddings.
• Embedding Models: Supports a variety of sentence-transformer models for creating high-quality embeddings.
• User Profiles: Creates a dynamic and evolving profile of the user based on their interactions.
• Local Caching: Caches embeddings locally for faster performance.

Getting Started

Prerequisites

• Python 3.11+
• PostgreSQL 15+ with pgvector

Installation

1. Clone the repository:

   git clone https://github.com/pinnacore-ai/ajatuskumppani.git
   cd ajatuskumppani/ajatus-memory

2. Install the dependencies:

   pip install -r requirements.txt

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.