deepset's repositories
haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
haystack-cookbook
👩🏻🍳 A collection of example notebooks
haystack-tutorials
Here you can find all the Tutorials for Haystack 📓
haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
haystack-demos
Fully working applications that demonstrate how to use Haystack to implement common NLP use cases
haystack-integrations
🚀 A list of Haystack Integrations, maintained by the community or deepset.
rag-with-nvidia-nims
🚀 Use NVIDIA NIMs with Haystack pipelines
haystack-experimental
🧪 Experimental features for Haystack
haystack-home
Website for Haystack, the open source LLM framework
deepset-cloud-sdk
A Python SDK to interact with deepset Cloud
haystack-helm
Repo containing haystack helm charts
haystack-evaluation
Using Haystack to benchmark different architectures over different datasets
rag-ui-nextjs
An example of a simple UI for a deepset Cloud RAG pipeline using Next.js
gpu-jupyter
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.
haystack-json-schema
JSON Schema for validating Haystack Pipeline YAML files
haystack-bm25
A Collection of BM25 Algorithms in Python
nvidia-triton-inference
This repository contains setup examples for hosting model inference using NVIDIA triton