ChanceRAG

Rabbitt.ai''s ChanceRAG is changing the way we search and find information in documents. This handy tool uses a method called Retrieval Augmented Generation (RAG) to make document retrieval more accurate and efficient. The best part is you do not need any coding skills to use it.

Key Features

Advanced Fusion Retrieval Technique

ChanceRAG uses a special technique that combines understanding the meaning of words with matching keywords. This helps you get more accurate and relevant search results.

PDF Processing and Vector Store Creation

Users can upload PDFs and connect them to large language models (LLMs) through a vector database. This makes managing and searching through documents easier.

BM25 Indexing

This feature works with the fusion retrieval technique to ensure high precision in document retrieval. It helps deliver accurate and relevant results for your searches.

Customization Options

ChanceRAG lets users adjust settings like chunk size and overlap. Users can also choose different retrieval and reranking methods. This makes the system flexible and tailored to specific needs.

Benefits

ChanceRAG has been tested and proven to deliver impressive results. It has a high precision rate and provides accurate responses without errors. This makes it a valuable tool for many real world applications.

Use Cases

ChanceRAG can be used in various ways.

• Customer Support Chatbots: It makes chatbots more accurate and relevant in their responses.
• AI Sales Agents: It helps AI sales agents perform better by giving them precise information.
• Document Management Systems: It makes finding information in large document collections easier and more efficient.

Funding

Rabbitt.ai recently raised 2.1 million dollars from TC Group of Companies. This investment shows the confidence in the company''s vision and capabilities.