What is Folderr?
Imagine Dropbox, but with a major AI upgrade! That's Folderr. We’ve integrated the best elements of AI to transform how you manage and leverage information. Whether you're using ChatGPTs GPT-4o, Gemini, Anthropic, or any other Language Model (LLM), Folderr.com makes it effortless to make your own incredibly powerful AI assistants and automations.
What is RAG?
RAG (Retrieval-Augmented Generation) is a powerful AI technique used by Folderr.com to enhance its features.
What is RAG?
RAG combines two AI methods:
1. Retrieval: Finds relevant information from a large dataset.
2. Generation: Uses the retrieved information to create accurate responses or content.
Benefits
1. Better Search Results:
- Accurate: Retrieves the most relevant documents for user queries.
- Context Aware: Ensures the information is relevant to the query.
2. Smarter Content Creation:
- Precise Responses: Generates coherent answers using retrieved data.
- Automated Documents Creates reports and summaries automatically.
3. Improved Chatbot Interactions:
- Natural Language Understanding: Chatbots understand and respond accurately.
- Comprehensive Support Provides thorough assistance using a wide range of data.
4. Advanced Automation:
- Optimized Workflows: Builds efficient automation using dynamic data retrieval.
- Scalable: Handles more queries and tasks efficiently.
Advantages
Increased Productivity: Quickly gets relevant information and generates content.
- Better Experience: Intuitive and user-friendly interactions.
- Less Manual Work: Automates document creation and task handling.In short, RAG makes Folderr.com a more powerful and efficient tool for finding information, creating content, and automating tasks, enhancing user productivity and experience.
What is RAG?
RAG combines two AI methods:
1. Retrieval: Finds relevant information from a large dataset.
2. Generation: Uses the retrieved information to create accurate responses or content.
Benefits
1. Better Search Results:
- Accurate: Retrieves the most relevant documents for user queries.
- Context Aware: Ensures the information is relevant to the query.
2. Smarter Content Creation:
- Precise Responses: Generates coherent answers using retrieved data.
- Automated Documents Creates reports and summaries automatically.
3. Improved Chatbot Interactions:
- Natural Language Understanding: Chatbots understand and respond accurately.
- Comprehensive Support Provides thorough assistance using a wide range of data.
4. Advanced Automation:
- Optimized Workflows: Builds efficient automation using dynamic data retrieval.
- Scalable: Handles more queries and tasks efficiently.
Advantages
Increased Productivity: Quickly gets relevant information and generates content.
- Better Experience: Intuitive and user-friendly interactions.
- Less Manual Work: Automates document creation and task handling.In short, RAG makes Folderr.com a more powerful and efficient tool for finding information, creating content, and automating tasks, enhancing user productivity and experience.
What are AI Agents?
AI Agents are autonomous systems that can access various tools and large language models (LLMs) to perform tasks independently.
What are AI Assistants
AI Assistants, often referred to as AI Chatbots, are systems designed to handle specific tasks like answering FAQs, typically using LLMs and prompt engineering techniques.
What are AI workflows?
AI Workflows refer to the structured processes or environments where tasks and operations are developed and executed.
What LLMs are available on Folderr?
Folderr is continually adding new LLMs as they are released or requestd by our users. We current support GPT-4, GPT-4o, GPT-3.5, Gemini 1.0, Gemini 1.5 Pro, Claude 3 Haiku and more.
Is there a limit on the number of doucments I import for training?
No, there are no limits on the number of documents you can upload. You can upload as many documents as you need, and all the data you upload can be used for training purposes.
What integrations are available in workflows?
What is a GPT?
GPT (Generative Pre-trained Transformer) is a type of large language model developed by OpenAI.
My Assistant is not providing clean answers and is using old conversational data
Each chat stores conversation history to assist with follow-up inquiries.
This feature is beneficial unless you've moved on to a new topic, have new questions, or have added new files and retrained your assistant.
To ensure accurate responses from your AI, create a new chat session when these changes occur. If you continue to experience issues, please contact us at hello@folderr.com or join our Discord community via the link in our website's footer.
This feature is beneficial unless you've moved on to a new topic, have new questions, or have added new files and retrained your assistant.
To ensure accurate responses from your AI, create a new chat session when these changes occur. If you continue to experience issues, please contact us at hello@folderr.com or join our Discord community via the link in our website's footer.
Do I need to retrain my AI when changing LLMs?
Nope!
The train button technically moves your files into a Folderr vector database or a SQL table (if a CSV file). This data exists outside of the LLM and on our servers. When you ask a question of the data, we only send the relevant information to the LLM and not the entire file. This happens each time you ask a question and reduced the amount of tokens consumed by the LLM by sending data in chunks instead of the entire document.
The train button technically moves your files into a Folderr vector database or a SQL table (if a CSV file). This data exists outside of the LLM and on our servers. When you ask a question of the data, we only send the relevant information to the LLM and not the entire file. This happens each time you ask a question and reduced the amount of tokens consumed by the LLM by sending data in chunks instead of the entire document.
