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ColiVara is a cutting-edge retrieval API designed to enhance the performance of Retrieval Augmented Generation (RAG) applications. By leveraging advanced vision models, ColiVara understands and processes documents just like a human would, overcoming the limitations of traditional OCR and text-based retrieval systems. Whether you're dealing with complex financial reports, technical diagrams, or data-rich tables, ColiVara ensures that your documents are retrieved with unparalleled accuracy and efficiency. With support for over 100 file formats, modern PgVector features, and state-of-the-art retrieval capabilities, ColiVara offers a delightful developer experience. Its ability to filter documents and collections based on arbitrary metadata fields, along with its support for webpage indexing, makes it a versatile tool for a wide range of applications. ColiVara is built on the ColiPali paper and uses the ColQwen2 model for embeddings, ensuring superior performance in both quality and latency. Whether you're a researcher, developer, or business professional, ColiVara provides the tools you need to make your RAG applications 10x smarter.
Top Features
- Supports over 100 file formats
- Modern PgVector features for faster search
- State-of-the-art retrieval based on ColiPali paper
- Filtering on arbitrary metadata fields
- Webpage support with automatic screenshot indexing
- Multiple collections and documents with user-defined metadata
Simple Definition of Usecases
- A developer uses ColiVara to enhance their RAG application by retrieving relevant sections from complex financial reports, ensuring accurate and context-aware responses.
- A data scientist leverages ColiVara to search through technical diagrams and data-rich tables, extracting precise information for their analysis.
- A researcher utilizes ColiVara to organize and retrieve research papers and books efficiently, filtering documents by author and year for their study.
- A business professional employs ColiVara to manage and search through large volumes of financial reports, ensuring quick access to critical data.
- A technical writer uses ColiVara to index and retrieve technical diagrams and documentation, streamlining their workflow and improving productivity.
Frequently Asked Questions
What is ColiVara?
ColiVara is a state-of-the-art retrieval API designed to enhance the performance of Retrieval Augmented Generation (RAG) applications by leveraging advanced vision models.
What does ColiVara support?
ColiVara supports over 100 file formats, including PDF, DOCX, PPTX, and more, and offers modern PgVector features for faster search and reduced storage requirements.
How to use ColiVara?
You can use ColiVara by installing the colivara_py package, initializing the ColiVara client, and using its methods to upload, search, and retrieve documents.
What to expect from ColiVara's retrieval performance?
ColiVara offers state-of-the-art retrieval performance, outperforming existing systems on both quality and latency, thanks to its use of the ColiPali paper and ColQwen2 model.
How does ColiVara handle webpage indexing?
ColiVara automatically takes a screenshot of webpages and indexes them, allowing for efficient retrieval even if the content is not in a file format.
Can I filter documents by metadata?
Yes, ColiVara allows you to filter documents and collections based on arbitrary metadata fields, such as author or year.
What are the pricing options for ColiVara?
ColiVara offers a simple and transparent pricing model that adapts to the size of your usage, with plans starting at $0/month for a free trial.
Is there a free trial available?
Yes, ColiVara offers a free trial that you can start by signing up on their website.
Where can I find documentation for ColiVara?
You can find detailed documentation for ColiVara on their official documentation page.
How can I contact ColiVara support?
You can contact ColiVara support by emailing [email protected] or visiting their status page for updates.
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