SAP AI Core vs. Haystack by deepset
A side-by-side comparison based on G2 review data.
| Metric | SAP AI Core | Haystack by deepset |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 28 | 11 |
| Ease of use | 8.2 | 8.4 |
| Ease of setup | 8.5 | 0.0 |
| Quality of support | 9.4 | 8.4 |
| Meets requirements | 9.2 | 8.8 |
| NPS | 50 | 63.636364 |
| Small Business | 32.1% | 50.0% |
| Mid-Market | 42.9% | 30.0% |
| Enterprise | 25.0% | 20.0% |
| Total page views | 87 | 66 |
| Total LLM citations | 6 | 766 |
SAP AI Core
An intelligent document processing solution that extracts, classifies, and processes data from structured, semi-structured, and unstructured business documents using OCR, LLMs, and vision-based extraction. It's natively embedded across SAP applications (S/4HANA, Business Network, Concur, Fieldglass, SuccessFactors, and more), automating tasks like invoice and purchase order handling, receipt capture, and quality certificate processing to cut manual data entry and reduce errors.
Haystack by deepset
Haystack is deepset's open-source Python AI orchestration framework for building customizable, production-grade AI agents and workflows. Connect components like language models, vector databases, and file converters into pipelines and agents that retrieve, reason, and act on your own data; use hooks to control the agent loop: enforce a token budget before the next LLM call, incorporate human approval before a risky tool call, or use compaction to keep context small.
- Natural Language Processing
- Ease of Use
- User Interface
- Open-Source
- Scalability
- Time-saving