AgentX provides 24/7 customer chat support based on your support documentation. AgentX is ready to go in minutes and automatically tracks changes to your support documentation to ensure questions are answered with the most up to date information.
No features have been listed yet.
Chatbase Evaluation: Definitely, after many hours of uploading documents that I have been refining, it continues to respond with absurd or incorrect answers, and sometimes even claims to have no information when it had answered correctly just 10 minutes before. A significant waste of time and money.
Based on our record, Chatbase seems to be a lot more popular than AgentX. While we know about 12 links to Chatbase, we've tracked only 1 mention of AgentX. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Congrats on the launch. How is it different from - https://chatbase.co/ https://sitegpt.ai/. - Source: Hacker News / 10 months ago
More and more people won’t use the base product directly, but downstream products such as https://chatbase.co, Microsoft Copilot integrated in all office applications, upcoming robots such as OpenAI Neo, etc. Source: 11 months ago
Chatbase.co is a good one. You can upload any text related file or pdf. Pretty user friendly and there's a lifetime deal on appsumo right now. Source: 12 months ago
I know there are several services out there such as chatbase.co (https://www.chatbase.co/) What service do you use? Source: about 1 year ago
Chatbase.co is a web app where you can embed pdf-s and then ask anything about it. It's an awesome tool to create questions for my college lecture notes and find answers in lengthy documents to easy questions (e.g.: How many times can I take an exam for free?). There is a free version which is enough most of the time for these kinds of use cases. Source: about 1 year ago
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
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