Relevance AI Description
No more complicated templates and file restrictions. Integrate LLMs such as ChatGPT easily with vector databases, OCR PDF, and more. Chain prompts and transforms to create tailor-made AI experiences. From templates to adaptive chains. Our unique LLM features, such as quality control and semantic cache, can help you to save money and prevent hallucinations. We will take care of infrastructure management, hosting and scaling. Relevance AI will do the heavy lifting in just minutes. It can extract data from unstructured data in a flexible way. Relevance AI allows the team to extract data with over 90% accuracy within an hour.
Relevance AI Alternatives
Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems.
Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval.
Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters.
Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.
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UpTrain
Scores are available for factual accuracy and context retrieval, as well as guideline adherence and tonality. You can't improve if you don't measure. UpTrain continuously monitors the performance of your application on multiple evaluation criteria and alerts you if there are any regressions. UpTrain allows for rapid and robust experimentation with multiple prompts and model providers. Since their inception, LLMs have been plagued by hallucinations. UpTrain quantifies the degree of hallucination, and the quality of context retrieved. This helps detect responses that are not factually accurate and prevents them from being served to end users.
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Ragie
Ragie streamlines data input, chunking and multimodal indexing for structured and unstructured information. Connect directly to data sources of your choice, ensuring that your data pipeline remains up-to date. Advanced features such as LLM reranking, entity extraction, flexible filters, and hybrid semantic-keyword search are built-in to help you deliver the latest generative AI. Connect directly to popular sources of data like Google Drive, Notion and Confluence. Automatic syncing ensures that your application provides accurate and reliable data. Ragie connectors make it easier than ever to get your data into your AI applications. You can access your data with just a few mouse clicks. Automatic syncing ensures that your application provides accurate and reliable data. Ingestion of relevant data is the first step in a RAG Pipeline. Ragie's APIs make it easy to upload files.
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Lamatic.ai
A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.
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Company Details
Company:
Relevance AI
Year Founded:
2020
Headquarters:
Australia
Website:
relevanceai.com
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Product Details
Platforms
SaaS
Customer Support
Online
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