1. Lakebase Search: vector and BM25 on Neon

    NeonNeon releases the beta of Lakebase Search, combining vector and full-text retrieval through the `lakebase_vector` and `lakebase_text` Postgres extensions. Its design uses IVF and RaBitQ, BM25 with top-K pushdown, and indexes on object storage that persist through scale-to-zero and branch instantly.

  2. LLMs belong in your backend

    NeonNeon introduces AI Gateway, enabling applications to call language models from the Neon backend. The service is intended to consolidate model access rather than requiring developers to manage accounts with individual labs.

  3. Building Neon Object Storage

    NeonNeon launches Neon Object Storage, an S3-compatible object store integrated with the Neon backend. It supports branching, allowing files to be included in isolated copies alongside database branches that take about a second to create.

  4. Electric is joining team Neon at Databricks

    NeonElectric, the team behind PGlite and the Electric sync engine, joins Databricks and its Neon team. The move brings lightweight WASM Postgres and real-time sync capabilities to Neon.

  5. Image: Neon

    Generate embeddings with Neon AI Gateway

    NeonNeon AI Gateway adds embedding models through the same OpenAI-compatible endpoint and credentials used for chat. Users can generate vectors, store them in Lakebase Postgres, and query them with Lakebase Search within one Neon branch.

  6. Autoscaling Lakebase Postgres

    NeonLakebase Postgres introduces autoscaling that removes the need to choose an instance size before the workload is known. The change targets database capacity management by adjusting to workload demands.

  7. We're including 5x more data transfer in all paid plans

    NeonNeon increases the monthly data transfer included in every paid plan from 100 GB to 500 GB, effective June 1, 2026. The change is automatic and is intended to eliminate egress charges for most workloads.

  8. Your Neon Functions can now run on a schedule

    NeonNeon Functions can now run on a schedule, extending them beyond jobs triggered by HTTP requests. The change addresses backend tasks such as pulling an external API into Postgres every 15 minutes without relying on an external scheduler or disabling scale to zero for a branch using pg_cron.

  9. Neon skills landed in the Vercel CLI

    NeonVercel's CLI now installs a provider's agent skills when users add a Marketplace integration from the terminal. The command can provision a Neon database on a Vercel project and give a coding agent instructions for using it.

  10. Custom domains for Neon Functions

    NeonNeon now lets users assign custom domains to Neon Functions, which previously used Neon invocation URLs. A function can now be reached through a domain such as `api.example.com`.

  11. Give your agent Neon tools

    NeonNeon launches @neon/tools, which turns the @neon/sdk client into typed tools for agents. The package includes adapters for MCP, Mastra, and Eve, and supports expansion of the hosted Neon MCP Server.

  12. Improving Lakebase Postgres Compute Cache on Neon, Part 1

    NeonNeon changes the compute cache on large fixed-size Lakebase Postgres instances by putting most machine memory into Postgres shared buffers and backing the cache with huge pages. This keeps hot pages in DRAM rather than a local disk cache, serving the same working set faster and with less CPU.

  13. Claimable Neon: Provisioned by agents, claimed by humans

    NeonClaimable Neon allows agents to provision a temporary Neon project without creating an account or providing payment details. It implements the anonymous registration method in auth.md, an open agent registration protocol authored by WorkOS.

  14. Neon Functions: backend logic next to your data

    NeonNeon Functions lets developers deploy Node.js 24 compute on a Neon branch in the same region as a Lakebase Postgres database, with DATABASE_URL injected automatically. The functions support long-running work, including agent streams and WebSockets or SSE connections that stay open for minutes.

  15. Introducing the New Neon API Command

    NeonNeon introduces the `neon api` command to bridge gaps between human-friendly CLIs and underlying APIs used by AI agents. The command aims to provide predictable access without exposing secrets through direct raw-API calls.