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7co

Provides vector search, distributed storage, and runtime infrastructure for building AI applications at scale.

Retrieval (RAG)DataVector databaseSelf-hostedFor developers
7co.cc ↗GitHubLaunched on Product Hunt · 2026-05-09
At a glanceswept 2026-09-18
Price
Price not read
Use
Emerging≈ 2 visits a month · estimate, 2026-09
Activity
Activity not read yet
Company
since 2026first launch
Runs as
Self-hosted
Alternatives in Retrieval (RAG)by use, among tools still maintained
  • PineconeStores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.

    Widely used

  • ZillizManages vector data for AI applications with real-time search, discovery, and analytics on a single platform.

    Established

  • QdrantStores and searches vectors at scale with metadata filtering, hybrid search, and reranking.

    Established

  • WeaviateVector database that stores, indexes, and searches high-dimensional vectors for retrieval-augmented generation and semantic search.

    Established

  • turbopufferVector and full-text search database built on object storage, scaling to 256TB per index with sub-10ms latency.

    Established

  • LangChainBuilds and deploys agents with observability, evaluation, and monitoring tools.

    Widely used

All Retrieval (RAG) tools →

Questions this page answers
  • What is 7co?

    Provides vector search, distributed storage, and runtime infrastructure for building AI applications at scale.

  • Do people use 7co?

    Emerging: ≈ 2 visits a month · estimate, 2026-09.

  • What are alternatives to 7co?

    In Retrieval (RAG), by use: Pinecone, Zilliz, Qdrant, Weaviate, turbopuffer, LangChain.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.