VelesDB now has a Haystack connector - build a RAG pipeline with zero infrastructure

It sounds like the combination of VelesDB and Haystack provides an interesting solution for building robust Retrieval-Augmented Generation (RAG) systems locally without relying on cloud services. Here’s a summary of key points from your post:

Key Features

1. Persistence Without Infrastructure:

   • VelesDB stores data persistently to disk, so it survives process restarts and doesn't require running servers or Docker containers.

2. Hybrid Search Capabilities:

   • Built-in support for HNSW vector search, BM25 full-text search, and Reciprocal Rank Fusion (RRF) without needing additional components like TextSearchRetriever or a reranker.

3. Graph Engine Support:

   • Native graph store capabilities that can be used for GraphRAG applications.

4. Compact Footprint:

   • VelesDB has a small footprint of around 6MB, making it lightweight compared to other vector stores like Qdrant, Milvus, or Weaviate which require larger Docker images and more resources.

5. Pipeline Orchestration with Haystack:

   • Haystack provides the flexibility to chain preprocessors, embedders, retrievers,

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