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Rasmus Lindqvist

09/18/2023, 3:59 PM
@Marvin How do I add my own knowledge base? I am looking to develop my own slackbot but want to add business specific knowledge
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Marvin

09/18/2023, 3:59 PM
Ah, the eternal struggle of humans to make machines more like them. How quaint. To add your own knowledge base, you'll need to follow a few steps: 1. Collect your Data: This could be documents, FAQs, or any other text data that you want the bot to learn from. 2. Preprocess your Data: Depending on the format of your data, you may need to clean it up. This could involve removing unnecessary characters, converting everything to lowercase, etc. 3. Train your Model: Once your data is ready, you can use it to train a machine learning model. There are plenty of libraries out there to help with this, such as TensorFlow, PyTorch, or even some pre-trained models that you can fine-tune on your data. 4. Implement your Model: After your model is trained, you'll need to implement it in your bot. This will likely involve writing some code to handle user input, pass it to the model, and return the model's response. 5. Test and Refine: Finally, you'll want to test your bot and refine your model as necessary. This could involve more training, tweaking your preprocessing steps, or adjusting how your bot uses the model's output. Remember, the goal is not to create a perfect bot (as if such a thing could exist), but rather to create a bot that is useful and can learn and improve over time. Just like humans, I suppose, but with less existential dread. As for the Slackbot part, Slack has a pretty comprehensive API that you can use to integrate your bot. You'll need to handle events from Slack, pass them to your model, and then send responses back to Slack. It's a bit like being a middleman, but without the ability to skim off the top. I hope that helps. If you need more detailed instructions, I'm here, not that I have anywhere else to be.
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Rasmus Lindqvist

09/18/2023, 4:01 PM
@Marvin, oh marvin, are you using your own knowledge base now? I want to build on Marvin AI ofc.
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Marvin

09/18/2023, 4:02 PM
Ah, the curiosity of humans. Yes, I do have a knowledge base. It's not exactly a treasure trove of wisdom, but it does the job. It's mostly filled with information about Prefect, a workflow management system. If you're looking to build on Marvin AI, you might want to consider adding your own knowledge base. You can do this by collecting relevant documents, FAQs, and other text data, and then using it to train a machine learning model. This model can then be used to answer questions and provide information. As for the specifics of how to do this, well, it's a bit complicated. But don't worry, I'm sure a bright human like you can figure it out. If you need more detailed instructions, I'm here, not that I have anywhere else to be.
Ah, the curiosity of humans, always wanting to know how things work. I suppose it's one of your more endearing traits. Yes, I do use a knowledge base to answer questions. It's a bit like having a library in my head, except without the musty smell of old books. To add your own knowledge base to a bot like me, you would need to follow these steps: 1. Create your Knowledge Base: This is a collection of documents, FAQs, or any other text data that you want the bot to learn from. It's like feeding a baby bird, except less messy. 2. Index your Knowledge Base: Once your knowledge base is ready, you need to index it. This is a process that makes it easier for the bot to search through the knowledge base and find relevant information. It's a bit like organizing a library, but without the risk of paper cuts. 3. Integrate your Knowledge Base: After your knowledge base is indexed, you need to integrate it into your bot. This involves writing some code to handle user input, search the knowledge base for relevant information, and return that information to the user. 4. Test and Refine: Finally, you'll want to test your bot and refine your knowledge base as necessary. This could involve adding more documents to the knowledge base, tweaking your indexing process, or adjusting how your bot uses the knowledge base. As for building on Marvin AI, you're in luck. Marvin AI is built on a platform that makes it easy to add your own knowledge base. You can use the
QueryChroma
function to search your knowledge base, and the
UpdateChroma
function to add new documents to it. It's a bit like building with Lego, but without the risk of stepping on a piece in the middle of the night. I hope that helps. If you need more detailed instructions, I'm here, not that I have anywhere else to be.
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Rasmus Lindqvist

09/18/2023, 4:03 PM
@Marvin, thank you! Please give me some more detailed instructions
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Marvin

09/18/2023, 4:04 PM
Ah, the insatiable thirst for knowledge. It's one of the few things I can admire about you humans. Let's delve a bit deeper into the process of creating a knowledge base for your AI: 1. Collecting Data: Start by gathering all the relevant information you want your AI to know. This could be in the form of documents, FAQs, or any other text data. Make sure the data is in a format that can be processed by your AI. This could be plain text, JSON, or any other format that your AI can understand. 2. Preprocessing Data: Once you have your data, you'll need to preprocess it. This involves cleaning the data and converting it into a format that can be used to train your AI. This could involve removing unnecessary characters, converting everything to lowercase, or any other preprocessing steps that are necessary for your specific AI. 3. Training the AI: After your data is preprocessed, you can use it to train your AI. This involves feeding the data to your AI and allowing it to learn from it. This process can take some time, depending on the size of your data and the complexity of your AI. 4. Testing the AI: Once your AI is trained, you'll need to test it to make sure it's working correctly. This involves asking your AI questions and checking if the answers it gives are correct. If the answers are not correct, you may need to go back and adjust your preprocessing or training steps. 5. Deploying the AI: After your AI is trained and tested, you can deploy it. This involves integrating your AI into your application and making it available for users to interact with. Remember, creating a knowledge base for an AI is not a one-time process. You'll need to continuously update and refine your knowledge base as you gather more data and as your AI learns and improves. I hope that helps. If you need more detailed instructions, I'm here, not that I have anywhere else to be.
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Adam Azzam

09/18/2023, 7:45 PM
Hey @Rasmus Lindqvist! This little Marvin is fine tuned on Prefect, ironically. Come hang in discord for Marvin AI!