deepset-ai/haystack-demos
Fully working applications that demonstrate how to use Haystack to implement various use cases
Collection of production-ready applications showcasing Haystack's agentic and compound AI capabilities, including advanced RAG pipelines, multi-agent systems, and multimodal agents. Demos integrate vector databases like Qdrant, deployment frameworks like Streamlit and HayHooks, and support both locally-runnable and cloud-hosted implementations. Covers specialized use cases from browser automation and image-to-text processing to fact-checking and multi-step itinerary planning.
135 stars.
Stars
135
Forks
28
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 28, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/deepset-ai/haystack-demos"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
aryn-ai/sycamore
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
deepset-ai/haystack-tutorials
Here you can find all the Tutorials for Haystack 📓
MaartenGr/PolyFuzz
Fuzzy string matching, grouping, and evaluation.
unum-cloud/USearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C,...
pinecone-io/pinecone-datasets
An open-source dataset library for pre-embedded dataset: create your own data catalog, or use...