Qdrant Vector Search Benchmarks

ClickHouse is a columnar OLAP database with vector indexes (ANN via AMM, brute-force), supporting SQL queries over vectors + structured data at petabyte scale. Excels in aggregations with vectors. For analytics workloads with embeddings; faster ingestion than Postgres pgvector for big data.

Curated datasets for benchmarking filtered approximate nearest neighbor (ANN) search in vector databases. Enriched with payload metadata and pre-generated filtering requests, including synthetic and real-world data for keyword and geo-spatial queries.

Havenask is an open-source, self-hosted distributed search engine from Alibaba with vector search for large-scale AI applications. Key features include high QPS/TPS, millisecond latency, SQL queries, and free use. Suited for production RAG and search, self-hosted for cost efficiency vs managed like Pinecone.

InfluxDB 3 OSS is an open-source, self-hosted time-series database with vector data support for AI/ML workloads. Key features include high-ingest, vector search, and Apache 2.0 license. Ideal for RAG with time-series vectors, free self-hosting vs managed Pinecone for cost savings.

Chroma is an open-source embedding database optimized for LLM apps, with in-memory/persistent storage and simple Python API. Features: HNSW indexing, automatic batching, metadata filtering, integrations with LangChain/LlamaIndex. Ideal for local dev, prototyping RAG; vs pgvector, easier for Python users; vs full DBs like Milvus, lighter but less scalable.

NGT (Neighborhood Graph and Tree) is an open-source vector search engine designed for fast and scalable approximate nearest neighbor search.