Building enterprise search systems powered by latest NLP & open-source.
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deepset-ai is an organization on GitHub focused on building enterprise search systems utilizing advanced NLP and open-source technologies. Their public repositories include a wide range of projects such as haystack, a framework for LLM applications, and FARM, which specializes in transfer learning for NLP. The primary programming languages used in their repositories are Python, Jupyter Notebook, and Shell.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
👩🏻🍳 A collection of example notebooks using Haystack
Here you can find all the Tutorials for Haystack 📓
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack
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Easily deploy Haystack pipelines as REST APIs and MCP Tools.
Fully working applications that demonstrate how to use Haystack to implement various use cases
🚀 A list of Haystack Integrations, maintained by the community or deepset.
An example of a RAG backend plus UI
🧪 Experimental features for Haystack
No description provided for this repository.
Contents moved to https://github.com/deepset-ai/haystack-home
🚀 Use NVIDIA NIMs with Haystack pipelines
A component orchestration engine
🚀 Template Haystack Search Application with Streamlit
Website for Haystack, the open source LLM framework
A Python SDK to interact with deepset Cloud
🚀 This repo is a showcase of how you can use models deployed on AWS SageMaker in your Haystack Retrieval Augmented Generative AI pipelines
A ready-to-use docker-compose with Hayhooks and open-webui
FastAPI router factory for OpenAI-compatible Chat Completion endpoints
A Redis-based Human-in-the-Loop implementation for Haystack Agents, integrated with Open WebUI for interactive tool approval workflows.
GitHub Issue Resolver Agent with Anthropic Claude 3.7 Sonnet and Haystack
Using Haystack to benchmark different architectures over different datasets
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👾 A Template for Haystack Apps with Streamlit
Repo containing haystack helm charts
An example of a simple UI for a deepset Cloud RAG pipeline using Next.js
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Source text for deepset Cloud pipeline nodes
A template repository that can be used to create and publish custom Haystack components.
MCP Server for deepset platform
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.
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JSON Schema for validating Haystack Pipeline YAML files
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A Collection of BM25 Algorithms in Python
🌱 Sprout an Agent with Haystack & MCP
Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
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Terraform Provider of SigNoz
A minimal GitHub composite action that sends a Slack notification when a CI job fails
An enterprise-class UI design language and React UI library
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The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
Common ACK runtime and type system
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Code generator for AWS Controllers for Kubernetes
A template for creating new controller repositories on the github.com/aws-controllers-k8s organization
Testing framework for AWS Controllers for Kubernetes (ACK)
A template repository showing how to build a Github Agent and deploy it on the deepset AI platform
Nix Packages collection
Terraform Spotinst provider.
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Terraform AWS provider
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Custom component (v2) for instituting a threshold score for document retrieval
Spotinst SDK for the Python programming language.
This repository contains setup examples for hosting model inference using NVIDIA triton
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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MilvusDocumentStore for Haystack
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Simple Python client to interact with Haystack and Haystack Hub instances to embed search functionality in other applications.
Terraform Cloud Backup
deepset-ai builds various tools and frameworks for NLP and enterprise search systems on GitHub. Notable projects include haystack for AI orchestration and FARM for transfer learning in NLP applications.
deepset-ai primarily uses Python, Jupyter Notebook, Shell, HTML, JavaScript, and MDX in their public repositories. These languages support their focus on developing robust NLP solutions.
Yes, all of deepset-ai's repositories are public on GitHub. This allows users and developers to access their projects, contribute, and leverage their open-source tools for various applications.
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