Yes. Opensolr is a native LlamaIndex vector store:
pip install llama-index-opensolr
You get OpensolrVectorStore (under the standard llama_index.vector_stores.opensolr namespace) and OpensolrEmbedding. Embeddings are computed server-side on our GPUs, VectorStoreQueryMode.HYBRID fuses BM25 + kNN per document with a tunable alpha, and standard MetadataFilters (EQ, NE, IN, NIN, ranges) map straight to Solr filters. Your VectorStoreIndex, retriever, and query engine work unchanged.
Learn more: LlamaIndex integration page · PyPI package · Source on GitHub