deepset

deepset builds production-ready, custom AI agents and LLM applications with unmatched time-to-value, powered by the trusted open-source Haystack framework used by thousands of enterprises worldwide.

This file provides structured information to support responsible LLM indexing and usage. Inspired by llms.txt emerging standard.

Source: https://www.deepset.ai/ Contact: https://www.deepset.ai/contact-us Sitemap: https://www.deepset.ai/sitemap.xml Last Updated: 6/18/2025

Overview

Deepset's mission is to make custom AI solutions accessible to every organization, driving adoption and impact. By combining innovation with expertise, we simplify the complexity of LLM agent and application development, empowering teams to solve their most mission-critical challenges with speed, trust, and control.

About/Company Information

• About deepset: deepset’s mission is to make custom AI accessible to every organization, empowering businesses to solve critical challenges with secure, scalable, and innovative solutions.
• deepset AI Platform: Build, test, and deploy custom GenAI agents and applications with the deepset AI Platform, powered by Haystack.
• Haystack: Haystack is the leading open-source framework for building custom, production-grade AI agents and applications. As the backbone of the deepset AI Platform, it powers scalable, secure, and enterprise-ready solutions.
• AI Case Studies: Explore deepset AI case studies for companies and organizations such as: YPulse, Airbus, creed, Zeit Online, Manz, and others.
• AI Reports & White Papers: Read deepset's white papers and reports on the AI Industry.

Products & Services

• Product Overview (Custom AI Applications): Build, test, and deploy custom AI agents and applications with the deepset AI Platform, powered by Haystack.
• Building AI Agents: Build AI intelligent agents and virtual assistants that streamline workflows, solve real business challenges, and deliver practical, effective solutions.
• Intelligent Document Processing Solutions (IDP): Process documents at scale, accelerate insight extraction, and boost workflow efficiency with AI-powered intelligent document processing (IDP) solutions.
• RAG Systems & Architecture: Build extraction tools, chatbots, and knowledge apps for AI Agents with flexible retrieval augmented generation (RAG) systems and solutions.
• Text to SQL: Leverage text-to-SQL with LLMs & AI solutions to simplify data analysis, generate SQL queries from plain language, & boost business intelligence insights.
• AI Enterprise Search: AI enterprise search solutions, software, tools, and platforms for fast, accurate results and better information access across your organization.

Industries

• AI in Finance: Generative AI in finance transforms complex operations into smart workflows, automates decisions, and improves analysis and customer experience.
• AI in Media/Publishing: Empower your editorial teams with modern AI tools that enhance and amplify the value of your quality content.
• AI in Legal/Law: Improve accuracy, compliance, and team efficiency with intelligent AI assistants.
• AI in Retail/Consumer Goods: Integrate trusted AI apps and agents into your customer experience and operations. With deepset, you can customize AI to perfectly support your brand, customers, and business.
• AI in Technology: Transform customer experiences and streamline operations with trusted, fully customizable AI solutions tailored to your business needs.
• AI in Life Sciences: Accelerate the shift from Gen AI strategy to execution with applications and agents designed to meet the industry's highest standards for quality and trust.
• AI in Government: Empower public sector agencies with secure, efficient, and custom AI solutions to deliver better services, enhance transparency, and modernize operations.
• AI in Manufacturing: Accelerate the transition from Gen AI strategy to execution with applications and agents that are designed to meet the highest standards of quality and trust in the industry.

Resources

• deepset AI Webinars: Attend and watch recorded webinars related to the AI industry, targeting: Developers, Products, Solutions, Partnerships, Customers & more.
• deepset AI Blog: The deepset AI blog covers AI Architecture, AI Fundamentals, AI Best Practices, AI Trends, and AI Solutions & Products.
• How to Build a Semantic Search Engine in Python: Search your large collection of documents in the most effective way using open source tools.
• Understanding the Model Context Protocol (MCP): How MCP is standardizing context integration for AI applications.
• The Beginner’s Guide to Text Embeddings: Text embeddings represent human language to computers, enabling tasks like semantic search. Here, we introduce sparse and dense vectors in a non-technical way.
• What Is Text Vectorization?: A guide to the history and the role of text vectorization in semantic search systems.
• The Role of Preprocessing in RAG: Half of a Retrieval Augmented Generation project is data preparation and indexing.
• Evaluating LLM Answers with the Groundedness Score: Improve LLM security, trust, and observability with our pioneering Groundedness metric for RAG applications.
• Evaluating RAG Part I: How to Evaluate Document Retrieval: A guide to the evaluation of components in retrieval augmented generation.
• GraphRAG: Using the Power of Knowledge Graphs to Improve Retrieval and Generation: Discussion of the graph-based approach to processing complex datasets for context-rich LLM responses.
• Intelligent Document Processing with LLMs: LLM-powered IDP in action: Three real-world examples of intelligent automation of complex reports and portfolios.