You want to build a RAG pipeline with Haystack. The first thing the tutorial tells you is to spin up a Docker container for your vector store. What if you could skip that entirely? VelesDB now ships a first-party Haystack 2.x DocumentStore, contributed by @CrepuscularIRIS in PR #672 . Two pip installs, zero infrastructure, and your Haystack pipeline has a vector backend that runs in-process. pip install haystack-ai haystack-velesdb Enter fullscreen mode Exit fullscreen mode That is the entire setup. No Docker. No server. No config file. What the integration provides The haystack-velesdb package gives you a VelesDBDocumentStore that implements the full Haystack DocumentStore protocol: write_documents() with duplicate policies (SKIP, FAIL, OVERWRITE) filter_documents() with Haystack's filter syntax embedding_retrieval() for vector similarity search count_documents() and delete_documents() to_dict() / from_dict() for pipeline serialization It translates Haystack's filter operators ( == , != , > , < , in ,…