Google Gemini vs. Rasa

Gemini is fantastic for receiving quick answers to questions where accuracy is not paramount. It is great for brainstorming ideas. It is also fantastic for analysing large swathes of unformatted data and finding correlations. Gemini can also transcribe handwriting and audio files making it excellent for formative assessment. It can also now create Google Slides which is great for lesson planning. Gemini is only as good as the prompts you provide it with though so you must remember to be exact with your prompts to get the best outputs.

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Rasa Pro is well suited for corporate use and for chatbots which require backend connections. Smaller chatbots with a few flows might be better served with a simple dialogue engine and custom AI agents, or Rasa Open Source. Rasa does not come with its own complex vector database, just in-memory FAISS and connectors to external vector DB's such as Milvus and Qdrant. It provides only a basic document parser and embedder for FAISS. If you need to build a RAG focused chatbot around a large knowledge base with complex documents, e.g. lots of MS Word or PDF files, you'll have to build a separate document parser and embedder, as well as your own semantic search engine

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• The new image editing functionality surprised me
• In general, file loading is better than in other AI programs
• I think it's somewhat faster than other AI programs, or at least that's the impression it usually gives
• Features like canvas and deep research are very interesting

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• Rasa team has Top notch AI knowledge
• Greate customer support, by listening towards the clients needs.
• And building future proof solutions around client Business Requirements within dazzling timeframes

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• Faces in generated images can be kind of scary looking, deformed.
• When asking for specific text in an image, it often generates funky randomly spelled text instead.
• Tried a bulk image search with uploaded png files to find the same images online and the links it provided were 404 errors instead.

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• No-code apps could be improved
• Online docs can be messy
• Steep learning curve

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It's standard usability interface - no problems or challenges using it. I do prefer Claude still because of the different options/modes you can toggle on and off. I don't think Gemini has those options. It's a great daily companion for quick problem solving but not great for larger projects or conversations

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With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.

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Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented

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Gemini seems very simple to use, veyr similar to ChatGPT, I wish they did have a capability such as ChatGPT projects one, so one can separate topics easily, it's very customizable, where I believe it defeats the others is that, is already very simple to use all of Google ecosystem, such as Drive, docs, sheets and else

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• Free way to gain another team member
• Helps me be more efficient and overcome blocks in my workflow
• Speeds up my ability to update our website's calendar by easily double if not more
• Allows me to dabble in areas that I have no expertise in such as coding

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• Cost Savings & Efficiency
• Increased Conversion Rates
• Improved Customer Satisfaction
• Operational ROI

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