deepset

Deepset provides a full cloud platform and the open-source Haystack framework to help you build and deploy large language models (LLMs) for your business-critical use cases. This means you can easily integrate AI into your products and processes.

Deepset Cloud speeds up the development and deployment of custom LLM applications with features for fast and accurate prototyping, building and launching. Some of the key features include:

• Rapid Prototyping: Processes, tools and expertise in one place to get from prototype to production fast.
• Optimized Deployment: Launch with confidence by optimizing for accuracy, performance and cost.
• Control and Flexibility: No vendor lock-in, explore new models and configurations with your data, and extend your team with access to AI engineers.
• Enhanced Collaboration: Streamline the AI application development lifecycle for fast and reliable adoption.

The platform allows you to build, test and deploy generative AI applications quickly. Some of the key features include:

• LLM Integration: Run leading AI models like GPT-4, Llama-v2, Falcon, or Claude, and fine-tune them for your use case.
• Data Ingestion: Bring business and customer context to LLMs by ingesting unstructured and structured data at scale.
• Model Optimization: Leverage a library of application templates and building blocks to optimize prompts and fine-tune models.
• Prototype and Test: Run experiments with structured configuration and comparison tools, and share prototypes to gather user feedback.
• Deployment and Monitoring: Deploy to production with one click, query via REST API, and monitor performance metrics.

Deepset provides a variety of pre-built templates and tools to support a range of use cases, including:

• Retrieval Augmented Generation (RAG): Retrieve relevant documents and use them to inform responses.
• Agents: Automate tasks and workflows with compound AI systems.
• Conversational BI (Text to SQL): Convert natural language queries into SQL commands.
• Question Answering: Pinpoint the exact location of answers and generate human-like responses.
• Vector-Based Search: Understand and retrieve information based on semantic similarity.
• Multimodal: Integrate and process multiple forms of data for enriched user experiences.

Deepset offers a variety of practical resources, including webinars, case studies and guides to help you get the most out of LLMs in your industry. These resources cover topics such as evaluating LLMs, fine-tuning them, and using them in finance and media applications. Customers can use these tools to build category-defining AI solutions that transform their operations and customer experiences.

Published on August 10, 2024