🚀 Supercharged Vector Database!

Requirements • Installation • Using the Program • Request a Feature or Report a Bug • Contact

Create and search a vector database to get a response from the large language model that's more accurate. This is commonly referred to as "retrieval augmented generation" (RAG)! You can watch an introductory [Video](https://www.youtube.com/watch?v=8-ZAYI4MvtA) or read a [Medium article](https://medium.com/@vici0549/search-images-with-vector-database-retrieval-augmented-generation-rag-3d5a48881de5) about the program.

Graphic of How This Program Works

![image](https://github.com/user-attachments/assets/b3784da7-91a5-426b-882c-756468ffdc20)

Requirements

| [🐍 Python 3.11](https://www.python.org/downloads/release/python-3119/) or [Python 3.12](https://www.python.org/downloads/release/python-31210/) • [📁 Git](https://git-scm.com/downloads) • [📁 Git LFS](https://git-lfs.com/) • [🌐 Pandoc](https://github.com/jgm/pandoc/releases) • [🛠️ Compiler](https://visualstudio.microsoft.com/) | |---| The above link downloads Visual Studio as an example. Make sure to install the required SDKs, however. >

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EXAMPLE error when no compiler installed:

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EXAMPLE of installing the correct SDKs:

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Installation

### Step 1 Download the ZIP file for the latest "release." Extract its contents and navigate to the `src` folder. > [!CAUTION] > If you simply clone this repository you will get the development version, which might not be stable. ### Step 2 Within the `src` folder, create a [virtual environment](https://realpython.com/python-virtual-environments-a-primer/): ``` python -m venv . ``` ### Step 3 Activate the virtual environment: ``` .\Scripts\activate ``` ### Step 4 Run the setup script: > Only ```Windows``` is supported for now. ``` python setup_windows.py ``` [Back to Top](#top)

🖥️Usage🖥️

> [!IMPORTANT] > Instructions on how to use the program are being consolidated into the `Ask Jeeves` functionality, which can be accessed from the "Ask Jeeves" menu option. Please create an issue if Jeeves is not working. ### Start the Program ``` .\Scripts\activate ``` ``` python gui.py ``` ### 🏗️ Create a Vector Database Download an embedding model from the ```Models Tab```. 1. Set the `chunk size` and `chunk overlap` settings within the `Settings Tab`. 2. Within the `Create Database Tab`, select the files that you want in the vector database. > 🖼️ images can be selected by clicking the `Choose Files` button.\ > 🎵 Audio files must be transcribed first within the `Tools Tab`. 3. Select the embedding model you want to use. 4. Click `Create Vector Database`. ### 🔍 Query a Vector Database * Select the database you want to search within the `Query Database Tab`. * Select `Local Models`, `Kobold`, `LM Studio` or `ChatGPT` for the backend that you want to provide a response to your question. * Click `Submit Question`. > The `chunks only` checkbox will display the results from the vector database without getting a response. ### ❓ Which Backend Should I Use? If you use either the `Kobold` or `LM Studio` you must be familiar with those programs. For example, `LM Studio` must be running in "server mode" and handles the prompt formatting. However,`Kobold` automatically starts in server mode but requires you to specify the prompt formatting. > [!TIP] > Kobold [home page](https://github.com/LostRuins/koboldcpp), [instructions](https://github.com/LostRuins/koboldcpp/wiki), and [Discord server](https://koboldai.org/discord)\ > LM Studio [home page](https://lmstudio.ai/), [instructions](https://lmstudio.ai/docs), and [Discord server](https://discord.gg/aPQfnNkxGC). ### 🗑️ Deleting a Database * In the `Manage Databases Tab`, select a database and click `Delete Database`. [Back to Top](#top) ## Request a Feature or Report a Bug Feel free to report bugs or request enhancements by creating an issue on github and I will respond promptly.

CONTACT

I welcome all suggestions - both positive and negative. You can e-mail me directly at "bbc@chintellalaw.com" or I can frequently be seen on the ```KoboldAI``` Discord server (moniker is ```vic49```). I am always happy to answer any quesitons or discuss anything vector database related! (no formal affiliation with ```KoboldAI```).

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