Crafting Conversational Experiences that Reach for the Stars , Without Breaking the Bank. Kreatebot orchestrate aharmonious symphony of LLMs and smaller, nimble language models, striking the perfect balance between conversational intelligence and cost-effectiveness
Offer a diverse library of templates covering various industries and use cases (e.g., customer support, lead generation, FAQs, product demos).Allow customization of templates to match brand identity and specific requirements
Seamless connection to existing knowledge bases (e.g., FAQs, documentation, support articles). Enable chatbots to retrieve relevant information and provide accurate answers to user queries.
See our library of AI chat bot, AI assistant and AI agents - Finance, Real Estate, Travel, Health, Movies, Sports.
Create and manage collections of pre-defined prompts to guide conversations and elicit specific information. Facilitate adaptive responses based on user input and conversation context.
Track chatbot performance and user interactions. Generate insights to optimize conversational flows and improve user engagement.
Create embeddings from text, images and audio to capture data. Add Meta Data, query re
Create embedding, upsert into vector DB and start querying . Managed vector db has no upfront cost, allow start up to experiment and there is no need to worry about infastructure management.
Enable set up of vector DBs. Great for scenarios where data need to stay within enterprise. Fixed cost and there is no per query charge. Customer only pay for infrastructure.
Create embeddings from text, images and audio to capture data. Add Meta Data, query re
Kreatebot front end offers seemless integration and flexible deployment options. It leverges standard technologies like React, Next.js. Customer can use SaaS options or seemlessly deployinto their environment in any cloud provider or on-prem.
Kreatebots backend seemlessly integrate into any cloud provider like GCP,Azure, AWS or with on-prem infra. Kreatebot backedn is built on standard technologies e.g. Node.js, Python, MongoDB etc and offer unparalleled flexibility and adapatbility.
Kreatebot has pre-built code to use OpenAI, Gemini, Hugging Face etc. Our interface and configuration let you choose LLM provider. Customer can also compare responses from different LLM provider
Use Open AI for creativity e.g. content, webdesign or website creation. Use OpenAI for automation and use function calling. Use Open AI for search, reasoning within knowledgebase.
Advance capabilities including finetuning, preparing datsets for fine tuning and evaluation of multiple models.
Gemini is Google LLM. Use Geminie for building Search app, Conversational Agent and Recommendation Agent.
Our team can also fuine tune Geminie, prepare dataset for Gemini and evaluate and compare multiplegemini models or do Gemini vs OpenAI comparisions.
Admin create AI Assistants on url provided.
Add field e.g. Assistant ID, Assistant Name and other optional field related to your business.
Fill configuration details for look and feel e.g. Logo, BotName, Meta Title, Meta Description of yourr bot
Upload PDFs or point to PDF with knowledge base
Direcly use bucket where many subfolder contain PDF, text and Slides.
Define attributes you want to use for personalziation
without writing any code Kreatebots will build app/workflow to collect attributes
Using Admin interface write prompts. Use persona/tone you wish for your chatbot
Include the personalization attributes you define above in prompt
Chatbot history, feedback collection, Logging, User Interface, Personalization Attributes are provided out of box.
You can select or changeLLM API provider - Open AI/Gemini. To select other provier simply paste API link in a box and chatbor will start using specified LLM
You can experiment with chatbot by giving example input. Admin can change # of output token, temperature and other knobs into UI
With some change RAG system can be added into this chatbot. Select vector dB, embedding and provide corresponding code to implement GetConext, GetAnswer interface.
Now chatbot/AI assistant will use RAG.
Startup and enterprise who wish to build their own AI Asssitant can hire expertise to build
Choose a partner with deep experience in delivering LLm based chatbot, Agents and Assistant
Hire experts who have built kreatebots Stock, Finance AI assitant, real estate AI Agent, chatbot for travel