I never heard of dagster.io before, but the fact that it's a pipeline orchestration tool that is also open-source got me hooked! I worked a lot with Alteryx before, so I love these kinds of approaches to building end-to-end pipelines.
There are alternatives, such as Stable Diffusion or DALL-E, but I feel that they produce far inferior results compared to Midjourney. Such a shame that they don't offer an API
Thank you for your comment. I appreciate your thoughtful feedback and couldn't agree more with many of your points. The primary purpose of this demo isn't to encourage self-diagnosis or the unmonitored consumption of dietary supplements but to demonstrate the potential of semantic search in a field that we know is fraught with misinformation.
As you rightly pointed out, the regulatory landscape of dietary supplements is quite different from that of drugs or food, and this often leads to a host of issues, including misleading labels and unproven health claims. Our goal is not to feed into these problems but instead to use technology to parse through the vast amount of data and draw out meaningful information. Dietary supplements are not a cure-all or replacement for professional medical advice.
They can, however, be beneficial in some instances if used correctly and under the guidance of healthcare professionals. Melatonin, a hormone that our bodies naturally produce in response to darkness, plays an essential role in regulating our sleep-wake cycle. Research has shown that supplemental melatonin can benefit those with disrupted sleep patterns. For instance, a systematic review and meta-analysis published in "Sleep Medicine Reviews" found that melatonin reduces sleep onset latency (the time it takes to fall asleep), increases total sleep time, and enhances overall sleep quality [1]. Another study in the "Journal of Clinical Sleep Medicine" reported that melatonin could benefit those with Delayed Sleep-Wake Phase Disorder, a condition characterized by a significant delay in sleep onset and waking times [2]. These studies suggest that, under specific circumstances, melatonin can be an effective sleep aid, emphasizing the importance of consulting with a healthcare provider to assess individual needs and potential benefits.
Great to hear that you also experimented with this! I agree that this approach is limiting and I think this can be further improved. I'm wondering whether a Retrieval Augmented Generation (RAG) could make this more flexible.
Thanks! Working on this and all the exciting features was really fun, from semantic and generative search to using Weaviate as a Semantic Cache and translating natural queries to GraphQL. The live demo was also recently updated with some good stuff! https://healthsearch-frontend.onrender.com/
BabyAGI is an AI-driven personal assistant that interprets given objectives and creates a list of tasks to execute them. After each task, BabyAGI evaluates the results and adjusts its approach accordingly. You can use vector databases like Weaviate or Chroma for storing. and enriching results