# Made with Haystack — full catalog

> A curated, daily-updated gallery of the best open-source projects built with Haystack, ranked by GitHub stars. Discover dashboards, UI kits, e-commerce, blogs and dev tools.

## About

- Gallery: https://madewithwhat.net/haystack/
- Curated summary: https://madewithwhat.net/haystack/llms.txt
- Projects indexed: 52
- Data source: GitHub (refreshed daily)
- Last scraped: 2026-07-22T09:29:08.061429+00:00

## AI & ML (29)

- [mlflow](https://madewithwhat.net/haystack/project/mlflow/): The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. (27,013 stars, Apache-2.0)
- [openinference](https://madewithwhat.net/haystack/project/openinference/): OpenTelemetry Instrumentation for AI Observability (1,084 stars, Apache-2.0)
- [haystack-tutorials](https://madewithwhat.net/haystack/project/haystack-tutorials/): Here you can find all the Tutorials for Haystack (367 stars, Apache-2.0)
- [haystack-core-integrations](https://madewithwhat.net/haystack/project/haystack-core-integrations/): Additional packages (components, document stores and the likes) to extend the capabilities of Haystack (198 stars, Apache-2.0)
- [cnllm](https://madewithwhat.net/haystack/project/cnllm/): Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation. (173 stars, Apache-2.0)
- [hayhooks](https://madewithwhat.net/haystack/project/hayhooks/): Easily deploy Haystack pipelines as REST APIs and MCP Tools. (148 stars, Apache-2.0)
- [haystack-demos](https://madewithwhat.net/haystack/project/haystack-demos/): Fully working applications that demonstrate how to use Haystack to implement various use cases (137 stars, Apache-2.0)
- [Flamehaven-Filesearch](https://madewithwhat.net/haystack/project/flamehaven-filesearch/): Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min (106 stars, MIT)
- [mistral-haystack](https://madewithwhat.net/haystack/project/mistral-haystack/): Mistral + Haystack: build RAG pipelines that rock (106 stars)
- [bricky](https://madewithwhat.net/haystack/project/bricky/): Haystack/OpenAI based chatbot curating a custom knowledgebase (104 stars, MIT)
- [autoquizzer](https://madewithwhat.net/haystack/project/autoquizzer/): Generates a quiz from a URL. You can play the quiz, or let the LLM play it. (70 stars, Apache-2.0)
- [terraphim-ai](https://madewithwhat.net/haystack/project/terraphim-ai/): Terraphim AI: deterministic AI Assistant (54 stars, Apache-2.0)
- [maximem_synap_sdk](https://madewithwhat.net/haystack/project/maximem-synap-sdk/): Maximem Synap is the memory layer that makes AI agents remember. 92% LongMemEval, 93.2% on LOCOMO. Works natively with LangChain, LlamaIndex, CrewAI, Google ADK, AutoGen, OpenAI Agents, Semantic Kernel, Haystack, and Pydantic AI. (47 stars, Apache-2.0)
- [should-i-follow](https://madewithwhat.net/haystack/project/should-i-follow/): An NLP application just for the lols: built with Haystack to get an overview of what a user is posting about on Twitter (46 stars)
- [Context-Based-Question-Answering](https://madewithwhat.net/haystack/project/context-based-question-answering/): Context-Based-Question-Answering (43 stars, Apache-2.0)
- [rag-with-nvidia-nims](https://madewithwhat.net/haystack/project/rag-with-nvidia-nims/): Use NVIDIA NIMs with Haystack pipelines (32 stars)
- [fact-checking-rocks](https://madewithwhat.net/haystack/project/fact-checking-rocks/): Fact checking baseline combining dense retrieval and textual entailment (30 stars, Apache-2.0)
- [haystack-search-pipeline-streamlit](https://madewithwhat.net/haystack/project/haystack-search-pipeline-streamlit/): Template Haystack Search Application with Streamlit (28 stars)
- [Youtube-Video-Transcribe-Summarizer-LLM-App](https://madewithwhat.net/haystack/project/youtube-video-transcribe-summarizer-llm-app/): YouTube Video Summarization App built using open source LLM and Framework like Llama 2, Haystack, Whisper, and Streamlit. This app smoothly runs on CPU as Llama 2 model is in GGUF format loaded through Llama.cpp. (23 stars, MIT)
- [RAG-Performance](https://madewithwhat.net/haystack/project/rag-performance/): Measuring RAG solutions throughput and latency (19 stars, MIT)
- [unstructuredio-haystack](https://madewithwhat.net/haystack/project/unstructuredio-haystack/): Unstructured Data Connectors for Haystack 2.0 (18 stars, MIT)
- [multimodal-agent-workshop](https://madewithwhat.net/haystack/project/multimodal-agent-workshop/): Workshop: Build a multimodal AI agent with Haystack & GPT-4o — featuring image understanding, document retrieval, conversational memory, and human-in-the-loop safety controls (17 stars, MIT)
- [WhisperMesh](https://madewithwhat.net/haystack/project/whispermesh/): WhisperMesh is an advanced chatbot that integrates voice and text interactions, delivering personalized responses through LLM models and a sophisticated vector database. Leveraging the RAG framework from Haystack, it ensures engaging, data-driven conversations that adapt to your preferred style. (16 stars, MIT)
- [haystack-github-bot](https://madewithwhat.net/haystack/project/haystack-github-bot/): A GitHub bot that summarizes your actions throughout a day and lists all your achievements. Built with Haystack and OpenAI (16 stars, MIT)
- [llama2-haystack](https://madewithwhat.net/haystack/project/llama2-haystack/): Using Llama2 with Haystack, the NLP/LLM framework. (16 stars)
- [outlines-haystack](https://madewithwhat.net/haystack/project/outlines-haystack/): Use `outlines` generators with Haystack. (14 stars, MIT)
- [haystack-sagemaker](https://madewithwhat.net/haystack/project/haystack-sagemaker/): This repo is a showcase of how you can use models deployed on AWS SageMaker in your Haystack Retrieval Augmented Generative AI pipelines (14 stars)
- [clearedge](https://madewithwhat.net/haystack/project/clearedge/): Build a RAG preprocessing pipeline (12 stars, Apache-2.0)
- [who-killed-laura-palmer](https://madewithwhat.net/haystack/project/who-killed-laura-palmer/): Simple Question Answering system, based on data crawled from Twin Peaks Wiki. It is built using Haystack, an awesome open-source framework for building search systems that work intelligently over large document collections. (11 stars, Apache-2.0)

## DevTools (13)

- [simple-django-project](https://madewithwhat.net/haystack/project/simple-django-project/): A simple Django project which uses MySQL as database. It has Signup, Login, Logout functionality. It lets you search for countries, cities, languages from the default mysql dump. Django's user table has been overridden to store user information. (191 stars)
- [oldp](https://madewithwhat.net/haystack/project/oldp/): Open Legal Data Platform (152 stars, MIT)
- [elasticstack](https://madewithwhat.net/haystack/project/elasticstack/): Configurable indexing and other extras for Haystack (with ElasticSearch biases) (126 stars, BSD-2-Clause)
- [HackTheBox-Writeups](https://madewithwhat.net/haystack/project/hackthebox-writeups/): A project worth exploring. (114 stars)
- [haystack-ui](https://madewithwhat.net/haystack/project/haystack-ui/): A project worth exploring. (113 stars, Apache-2.0)
- [haystack-defs](https://madewithwhat.net/haystack/project/haystack-defs/): Haystack 4 Defs (81 stars, AFL-3.0)
- [kubernetes-sidecar-injector](https://madewithwhat.net/haystack/project/kubernetes-sidecar-injector/): Kuberbetes mutating webhook that injects a sidecar container to a pod (78 stars, Apache-2.0)
- [haxall](https://madewithwhat.net/haystack/project/haxall/): Haxall IoT framework (71 stars, AFL-3.0)
- [distkv](https://madewithwhat.net/haystack/project/distkv/): Distributed KV Storage System based on Raft and RocksDB, can be use to store small files, like images. (58 stars)
- [pitchfork](https://madewithwhat.net/haystack/project/pitchfork/): Convert tracing data between Zipkin and Haystack formats (46 stars, Apache-2.0)
- [haystack-java](https://madewithwhat.net/haystack/project/haystack-java/): Project-Haystack Java Reference Implementation (33 stars)
- [shaystack](https://madewithwhat.net/haystack/project/shaystack/): Simplifying Implementation of Haystack (25 stars, BSD-2-Clause)
- [haystack-csharp](https://madewithwhat.net/haystack/project/haystack-csharp/): Haystack.net client (16 stars, AFL-3.0)

## Blogs (2)

- [DjangoBlog](https://madewithwhat.net/haystack/project/djangoblog/): Django (7,406 stars, MIT)
- [izone](https://madewithwhat.net/haystack/project/izone/): Django，，、， (1,228 stars, MIT)

## E-commerce (2)

- [django-oscar](https://madewithwhat.net/haystack/project/django-oscar/): Domain-driven e-commerce for Django (6,611 stars, BSD-3-Clause)
- [ecommerce_api](https://madewithwhat.net/haystack/project/ecommerce-api/): E-commerce by Django Rest Framework (297 stars, MIT)

## Dashboards (2)

- [horilla-hr](https://madewithwhat.net/haystack/project/horilla-hr/): Horilla is a free and open source HR and CRM software. (1,283 stars, LGPL-2.1)
- [django-haystackbrowser](https://madewithwhat.net/haystack/project/django-haystackbrowser/): View and debug the data in your Haystack search indexes, from within the Django admin. (36 stars)

## APIs (2)

- [weaver](https://madewithwhat.net/haystack/project/weaver/): A distributed object file system inspired by the paper Beaver which was published by Facebook Inc. at 2010. (20 stars, Apache-2.0)
- [openapi-service-client](https://madewithwhat.net/haystack/project/openapi-service-client/): Enables LLM integration with OpenAPI-defined services through function-calling JSON (11 stars, Apache-2.0)

## Docs (1)

- [MrDoc](https://madewithwhat.net/haystack/project/mrdoc/): mrdoc,online document system developed based on python. It is suitable for individuals and small teams to manage documents, wiki, knowledge and notes. ，、。 (3,223 stars, GPL-3.0)

## UI Kits (1)

- [haystack-docker](https://madewithwhat.net/haystack/project/haystack-docker/): Repository with docker-compose files to start Haystack components in sandbox (18 stars, Apache-2.0)