Q.What types of data can I use to train my RAG Chatbot?
A.You can train your chatbot with diverse data sources including PDFs, HTML files, and Q&A formats.
E
Embed
★4.4
💬100
💲Freemium
Embed is a platform for building and embedding RAG Chatbots from various knowledge sources. It supports training from PDFs, URLs, and text, and offers iFrame embedding for easy integration. The platform also includes features for continuous optimization through user query recording and knowledge base retraining.
💻
Platform
web
AI ChatbotGPTGoogle GeminiKnowledge BaseLlama3PDF TrainingRAG Chatbot
What is Embed?
Embed is an online platform designed to build and embed RAG (Retrieval-Augmented Generation) Chatbots from various knowledge sources. It transforms PDFs, URLs, and text into smart chatbots that can be easily integrated into websites or platforms using iFrame embedding. The platform also supports continuous optimization through user query recording and knowledge base retraining.
Core Technologies
- RAG Chatbot
- AI Chatbot
- GPT
- Google Gemini
- Llama3
- PDF Training
- URL Training
- Text Training
Key Capabilities
- Knowledge base training
- RAG Chatbot configuration
- iFrame embedding
- User query recording
- Knowledge base retraining
- Access to AI models
Use Cases
- Creating customer support chatbots
- Building internal knowledge base chatbots
- Developing Q&A chatbots for specific topics
Core Benefits
- Easy integration with iFrame embedding
- Supports various data sources for training
- Offers knowledge retraining capabilities
- Provides access to different AI models
- Includes user query recording for optimization
Key Features
- Knowledge base training from PDFs, URLs, and text
- RAG Chatbot configuration with system prompts and AI model selection
- Embedding chatbots via iFrame
- User query recording for continuous optimization
- Knowledge base retraining
- Access to free LLama2 & LLama3 chat models
How to Use
- 1Train your chatbot with diverse data sources.
- 2Configure your RAG chatbots with system prompts and AI model selection.
- 3Deploy your chatbot on your website or platform using iFrame embedding.
Pricing Plans
Free
Free
Self-setup of embedded models and vector storage, requires OpenAI API key and Pinecone API key. Free Q & A knowledge training functionality. Access to free LLama2 & Llama3 chat models. Knowledge retraining capabilities included. Integration through iframe for chatbots
Standard
$10/month
Access to all features provided by our platform. Support for training and storing up to 75,000 knowledge entries. 50,000 write and update operations per month. 50,000 query operations per month. On-call service, real-time problem solving.
Pro
$88/month
Unlimited knowledge storage, modifications, and queries. Access to all platform features. Custom development of chatbot UIs tailored to your specific needs. Custom agent development to enhance chat experience. On-call service for real-time problem solving, ensuring continuous support.
Frequently Asked Questions
Q.How do I deploy my RAG Chatbot?
A.You can deploy your chatbot on your website or platform by embedding it using an iFrame.
Q.What AI models are supported?
A.The platform supports AI models such as GPT, Google Gemini, or Llama3.
Q.How can I get support?
A.Get your questions answered through our Discord channel. We aim to resolve all inquiries within 24 hours.
Pros & Cons (Reserved)
✓ Pros
- Easy integration with iFrame embedding
- Supports various data sources for training
- Offers knowledge retraining capabilities
- Provides access to different AI models (GPT, Gemini, Llama3)
- Includes user query recording for optimization
✗ Cons
- Self-setup of embedded models and vector storage in the free plan requires OpenAI API key and Pinecone API key
- Standard plan has limits on knowledge entries and operations
- Pro plan, while offering unlimited storage, is the most expensive
Alternatives
No alternatives found.