Qdrant, the Vector Search Database, raised $28M in a Series A round

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. Milvus

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    Good on them, I know the crustaceans are out here happy about this raise for a Rust based Vector DB!

    (now I'm gonna plug what I work on)

    If you're interested in a more scalable vector database written in Go, check out Milvus (https://github.com/milvus-io/milvus)

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. qdrant

    Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  4. Weaviate

    Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  5. lancedb

    Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.

    We use pgvector which if you're already using postgres should be in the running for your use case.

    I also like https://github.com/lancedb/lancedb

  6. deeplake

    Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

    I think Activeloop(YC) is too: https://github.com/activeloopai/deeplake/

  7. chroma

    the AI-native open-source embedding database

  8. marqo

    Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

    Marqo.ai (https://github.com/marqo-ai/marqo) is doing some interesting stuff and is oss. We handle embedding generation as well as retrieval (full disclosure, I work for Marqo.ai)

  9. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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