Alternatives to SharpVector

Weaviate is an open-source AI database that combines vector search, hybrid search, and RAG with agent memory in one stack.

Vespa is an open-source AI search platform combining vector, text and tensor retrieval with machine-learned ranking in one engine.

Open-source vector database for GenAI apps, scaling from a pip install to tens of billions of vectors

Open-source context retrieval layer that syncs your apps and databases so AI agents query live business data in natural language.

Fully managed vector database on Milvus for RAG, semantic search, and billion-scale AI applications.

Chroma is open-source search infrastructure for AI that keeps vectors, indexes and metadata on cheap object storage.

Qdrant: open-source Rust vector search engine built for filtered hybrid search at scale

Vector and full-text search on object storage, with sub-10ms warm queries and pricing roughly 10x under compute-based vector databases.

TiDB is a distributed SQL database with native vector search for AI agent memory, state, and RAG at scale.

LanceDB is an open-source multimodal lakehouse for vector search, curation, and training on one Lance table.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object

VectorRAG.Net is a .NET vector search library with in-process ANN retrieval for RAG, semantic search, and embedded vector databases.

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

NodeDB is a universal database engine fusing vector, graph, document, columnar, key-value, and full-text search in one SQL binary.

Embedbase is a single API that combines a semantic search vector store with LLM text generation.

Open-source RAG engine with built-in ETL, hybrid search and visual AI agent orchestration

Fully managed vector database and knowledge platform: search, upsert, and rerank from one index and one API key.

pgvector adds vector similarity search inside Postgres, so embeddings live next to your relational data.

VectorAI DB: run a local vector database for persistent AI agent memory on your own hardware, offline or air-gapped.

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

PostgresML brings LLM inference, embeddings, and vector search to your database with SQL — Postgres with GPUs for RAG and ML.

Elasticsearch Labs: free tutorials, notebooks, and reference apps for AI search, vector search, and RAG on Elasticsearch.

Open-source, self-hosted AI search and RAG chat you add to your site with one script tag

Kronotop is a distributed transactional document database with built-in vector search and millions of isolated agent namespaces per cluster.

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

GPU-native database and memory layer that lets AI agents query multimodal data without leaving the GPU.

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Open long-context text embeddings plus agentic code-compliance and submittal review for AEC firms

Meilisearch delivers typo-tolerant, sub-50ms search-as-you-type plus hybrid vector and multimodal retrieval through one REST API.

Memgraph is an in-memory graph database for GraphRAG, AI agent memory, and real-time graph analytics on one engine.