Neural Question Answering at Scale
Neural Question Answering Powered by Open Source
Haystack lets you scale QA models to millions of documents.
Latest NLP models
Utilize all transformer based models (BERT & co.) and smoothly switch when new ones get published
Flexible databases
Load data into and query from a range of databases such as Elasticsearch, FAISS, SQL and more
Scalability
Production-ready deployments that scale to millions of documents
End-to-End
All tooling you need to implement, evaluate, improve and operate your QA system
Domain adaptation
Fine-tune models to your own domain & improve them continuously via user feedback
Our Products
Free for Developers. Full Service for Enterprises.
Haystack Open Source
Open source framework to scale QA models to large collections of documents.
Feature higlights include:
- Latest NLP Models
- Flexible databases
- Scalability
Financial Governance
Gaining insights into financial data of multiple companies within a market. Analysis mainly focuses on reducing risks e.g. credit decisions.
- Faster and efficient insights
- Comprehensive insights into the full data and therefore significantly less risk in the analysis
Examples:
- Checking plausibility of accruals
- Checking of measures taken against pandemic risks in a portfolio of companies
Knowledge Base Search
Finding relevant information in infromation portals or wikis.
- Direct resolution of tickets
- Increased customer satisfaction
- More efficient onboarding and knowledge sharing in enterprises
Examples:
- Customers looking for guidance on terms & conditions
- Employees looking for company's travel policy etc.
Market & Competitor Intelligence
Analyzing market trends and monitoring of competitive strategy.
- Comprehensive analysis of complete data sets
- Higher efficiency in research leaving more time for humans to create synthesis
Examples:
- Analyzing the outlook of the growth of AI in Automotive
- Overview over all M&A activities
- Evaluation of growth rate for EMEA market from different sources