> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lambdadb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Roadmap & Changelog

> Track the LambdaDB product roadmap and changelog, including upcoming features like integrated embeddings, partition management, and recent releases.

Last updated: May 21, 2026

## Up Next

* Query and indexing performance, always
* Explicit partition management: add and delete collection partitions beyond hash-based partitioning
* Flexible continuous backup retention: set custom point-in-time recovery windows and update them after collection creation
* MCP support for agentic search and retrieval

## Changelog

### May 2026

* Completed integrated embeddings for managed vector fields. You can now send source text, let LambdaDB generate and store embeddings, and query managed embedding fields with `knn.queryText`. See [Managed embeddings](/guides/collections/managed-embeddings).
* Added inference usage to [costs and Free plan quotas](/guides/costs/understanding-costs). Managed model usage is measured in LIU.

### April 2026

* Added the initial [Free plan](/guides/costs/understanding-costs).

### March 2026

* Launched [LambdaDB Cloud](https://app.lambdadb.ai/auth/signup) public preview across all global AWS regions.
* Released the [Python, TypeScript, and Go SDKs](/reference/sdk/introduction), plus [langchain-lambdadb](https://pypi.org/project/langchain-lambdadb/) and [langchain-lambdadb-js](https://www.npmjs.com/package/@functional-systems/langchain-lambdadb).