As I was building LLM projects, I found I was re-implementing a new vector database for each one. So I built RagTag (https://ragtag.weaveapi.com), a vectordb/RAG as a service to make the process faster. This provides a CRUD interface to push and retrieve documents, which are automatically chunked and converted to embeddings. AgentX (https://theagentx.com), an LLM chat support app is one of the projects I built... - Source: Hacker News / 4 months ago

My AskAI launched in March this year, and we've been trying to ride the AI wave ever since. Our product, at its heart, is a classic "chat with your data" tool — add your website and create an AI assistant that can answer any question about your company. But with my background in product and tech, our focus has been on perfecting the basics, and being the easiest to use. It's easy to get sidetracked in AI! Source: 7 months ago

Founders of My AskAI share insights on reaching $14K/MRR and 300 customers. Source: 10 months ago

As for training, I trained it through over 500 prompts and completions of all niches uploaded via csv onto myaskai.com and fine tuned the model in my openai playground. As you know, its been trained for all niches, and I will regularly be updating the model with new prompts and completions to keep it sharp and make it smarter. Source: 11 months ago

My AskAI — Your own ChatGPT, with your content ( https://myaskai.com/ ). Source: 11 months ago

The company I work at has been using MyAskAI for the same use case as yours. It's been pretty good so far. Source: about 1 year ago