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We’re a lean team that likes to ship at incredibly high velocity. For features and improvements that have already shipped, see the changelog.

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In Progress

  • Native vector search (beta). The ParadeDB index natively indexes pgvector’s vector type, addressing pgvector’s limitations around filtered queries — specifically, queries that combine vector similarity with metadata filters or full-text search predicates.
  • Incremental index maintenance. Vector search quality currently degrades as indexed rows are updated. We are implementing SPFresh to maintain index quality incrementally.
  • Remaining pgvector types. Implement support for pgvector’s halfvec, sparsevec, and bit types.

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JOIN Improvements

  • Join pushdown (beta). Join pushdown pushes search predicates directly into the index for significantly better performance.
  • Smarter JOIN planning for search indexes. Apply index-aware optimizations and cost estimation strategies when multiple ParadeDB-indexed tables are joined.

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Ecosystem Integrations

  • ORMs. Official support for more ORMs, like Prisma and others, is coming. Drizzle, Django, SQLAlchemy, Rails, and Entity Framework Core are already available.
  • AI Frameworks. Official support for LangChain, LlamaIndex, CrewAI, and others is coming.
  • PaaS Providers. Official tutorials for hosting ParadeDB on more platform-as-a-service providers like Heroku and others are coming. Railway, Render, Fly.io, DigitalOcean, and Dokku are already available.

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Managed Cloud

  • Today, you can deploy ParadeDB self-hosted, on cloud platforms, or with ParadeDB BYOC. We’re also building ParadeDB Cloud, a fully managed ParadeDB: first-class search from Postgres, with a developer experience to match. Join the waitlist to get notified when it launches.

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Long Term

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Deeper Analytics Improvements

  • Push Postgres visibility rules into the index. This is currently a filter applied post index scan that adds overhead to large scans.

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We’re Hiring

We’re tackling some of the hardest and (in our opinion) most impactful problems in Postgres. If you want to be a part of it, please check out our open roles!