Haystack

HaystackSince 2026-08

Haystack is an open-source NLP and generative AI framework by Deepset, designed for building production-grade Retrieval-Augmented Generation (RAG), neural search, and multi-modal question-answering systems. Built with modular component architecture, Haystack allows engineering teams to assemble and customize search pipelines using diverse document stores, embedding models, and LLMs. With enterprise features like hybrid search (dense vector + sparse BM25 retrieval), advanced cross-encoder re-ranking, and structured pipeline validation, Haystack powers mission-critical search engines at global enterprises.

Haystack 2.0 provides a component-driven pipeline architecture where developers connect discrete nodes (DocumentStores, Embedders, Retrievers, Rankers, and Generators) into clean Directed Acyclic Graphs (DAGs). Pipelines can be serialized to YAML for continuous integration, tested locally, and deployed via REST API with Haystack service templates. Haystack integrates natively with all major vector databases, including Qdrant, Pinecone, Milvus, Weaviate, and OpenSearch, providing full vendor flexibility without vendor lock-in.

World LabsSince 2024-01

World Labs develops foundational AI models for spatial intelligence and 3D understanding. Their technology enables machines to perceive and interact with the physical world in three dimensions. The company aims to bridge the gap between digital and physical environments.

Founded by leading AI researchers, World Labs focuses on large-scale world models. Their work has applications in robotics, AR/VR, and autonomous systems.