deepset
@deepset-ai • Building enterprise search systems powered by latest NLP & open-source.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
70%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
8 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (19), Unknown (10), Jupyter Notebook (1)
Average size
5
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-08-13(12d ago)GitHub API fallback30 repositories
70%
of the visible star count comes from this organization's top three repositories.
5
stars per repository in this same snapshot.
Python
is the most common language here, with 8 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 53% of its visible star count.
Flagship share 53%Breakout repo: haystack-rag-app
Organization pages work best when you separate portfolio breadth from flagship concentration. In deepset's case, the visible top three repositories account for about 70% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (19), Unknown (10), Jupyter Notebook (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | deepset-ai/haystack-rag-app An example of a RAG backend plus UI | Python | 80 |
| 2 | deepset-ai/fastapi-openai-compat FastAPI router factory for OpenAI-compatible Chat Completion endpoints | Python | 13 |
| 3 | deepset-ai/hayhooks-open-webui-docker-compose A ready-to-use docker-compose with Hayhooks and open-webui | Python | 12 |
| 4 | deepset-ai/github-agent GitHub Issue Resolver Agent with Anthropic Claude 3.7 Sonnet and Haystack | Python | 10 |
| 5 | deepset-ai/hitl-hayhooks-redis-openwebui A Redis-based Human-in-the-Loop implementation for Haystack Agents, integrated with Open WebUI for interactive tool approval workflows. | Python | 9 |
| 6 | deepset-ai/haystack-streamlit-app 👾 A Template for Haystack Apps with Streamlit | Python | 6 |
| 7 | deepset-ai/custom-component A template repository that can be used to create and publish custom Haystack components. | Python | 5 |
| 8 | deepset-ai/deepset-mcp-server MCP Server for deepset platform | Python | 4 |
| 9 | deepset-ai/itinerary-agent An AI-powered travel itinerary planning system that combines Hayhooks (Haystack AI pipeline serving), a sophisticated multi-agent itinerary planning system, and Open-WebUI for an intuitive chat interface. | Python | 3 |
| 10 | deepset-ai/haystack-rag-agent | Python | 3 |
| 11 | deepset-ai/spring-into-haystack 🌱 Sprout an Agent with Haystack & MCP | Python | 2 |
| 12 | deepset-ai/opea-haystack-demo | Python | 1 |
| 13 | deepset-ai/deepset-cloud-github-action-template | 1 | |
| 14 | deepset-ai/dc-custom-component-template | Python | 1 |
| 15 | deepset-ai/llm_judge_experiments | Jupyter Notebook | 1 |
| 16 | deepset-ai/stackit-landing-zone STACKIT Landing Zone Accelerator | 0 | |
| 17 | deepset-ai/hayhooks-challenge Easily deploy Haystack pipelines as REST APIs and MCP Tools. | 0 | |
| 18 | deepset-ai/n8n-hayhooks-gmail-trigger Trigger Hayhooks pipelines from Gmail via n8n | Python | 0 |
| 19 | deepset-ai/terraform-provider-signoz Terraform Provider of SigNoz | 0 | |
| 20 | deepset-ai/ant-design An enterprise-class UI design language and React UI library | 0 | |
| 21 | deepset-ai/notify-slack-action A minimal GitHub composite action that sends a Slack notification when a CI job fails | 0 | |
| 22 | deepset-ai/NeMo-Agent-Toolkit The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents. | 0 | |
| 23 | deepset-ai/dap-github-agent-template A template repository showing how to build a Github Agent and deploy it on the deepset AI platform | Python | 0 |
| 24 | deepset-ai/terraform-provider-spotinst Terraform Spotinst provider. | 0 | |
| 25 | deepset-ai/oclc-custom-component | Python | 0 |
| 26 | deepset-ai/doc-threshold-custom-component Custom component (v2) for instituting a threshold score for document retrieval | Python | 0 |
| 27 | deepset-ai/spotinst-sdk-python Spotinst SDK for the Python programming language. | 0 | |
| 28 | deepset-ai/sales-gpt-custom-component | Python | 0 |
| 29 | deepset-ai/nvidia-triton-inference This repository contains setup examples for hosting model inference using NVIDIA triton | Python | 0 |
| 30 | deepset-ai/nvidia-nims-rerankers | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.