Taranjeet Singh f842a92e25 Rename embedchain to mem0 and open sourcing code for long term memory (#1474) 1 year ago
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README.md f842a92e25 Rename embedchain to mem0 and open sourcing code for long term memory (#1474) 1 year ago
config.yaml f842a92e25 Rename embedchain to mem0 and open sourcing code for long term memory (#1474) 1 year ago
privateai.py f842a92e25 Rename embedchain to mem0 and open sourcing code for long term memory (#1474) 1 year ago
requirements.txt f842a92e25 Rename embedchain to mem0 and open sourcing code for long term memory (#1474) 1 year ago

README.md

Private AI

In this example, we will create a private AI using embedchain.

Private AI is useful when you want to chat with your data and you dont want to spend money and your data should stay on your machine.

How to install

First create a virtual environment and install the requirements by running

pip install -r requirements.txt

How to use

  • Now open privateai.py file and change the line app.add to point to your directory or data source.
  • If you want to add any other data type, you can browse the supported data types here

  • Now simply run the file by

python privateai.py
  • Now you can enter and ask any questions from your data.