Releasesby Ibisrerank-3 and rerank-3-lite: the next generation of Voyage rerankers
GA3 weeks agoUnverifiedAdded Oct 25, 2026
Voyage AI introduced the Rerank 3 series, offering improved retrieval performance on long documents and code compared to previous versions. The models maintain a 32K token context length and instruction-following capabilities.
Topics: LLMs, Performance
More Voyage AI releases
Every Voyage AI releasevoyage-code-4: code retrieval built for coding agents
Voyage AI has launched voyage-code-4, a next-generation code embedding model designed for coding agents. The model is priced at $0.12 per 1M tokens and outperforms voyage-code-3 on agentic code retrieval benchmarks.
voyage-context-4: stop worrying about chunking with our best-performing model
Voyage AI has released voyage-context-4, a contextualized chunk embedding model that features auto-chunking and handles documents longer than 32K tokens.
Announcing New Models and Expanded Availability
Voyage AI introduced the Voyage 4 embedding model series with shared embedding spaces and the voyage-multimodal-3.5 model with video retrieval support. The models are now available on MongoDB Atlas and GCP.
The Voyage 4 model family: shared embedding space with MoE architecture
The Voyage 4 series features a shared embedding space for cross-model compatibility. The flagship voyage-4-large model uses a mixture-of-experts architecture to improve retrieval accuracy while reducing costs.
voyage-multimodal-3.5: a new multimodal retrieval frontier with video support
The voyage-multimodal-3.5 model adds support for embedding video frames alongside text and images. It also supports Matryoshka embeddings for flexible dimensionality.
Introducing the Batch API: Simpler and more efficient for large-scale workloads
The new Batch API is an asynchronous endpoint for processing large volumes of requests. It offers higher throughput, a 12-hour completion window, and 33% cost savings compared to synchronous alternatives.
Also shipped on Sep 30, 2026
Voyage AI in September 2026Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Amazon Aurora PostgreSQL now supports direct queries of data stored in Apache Iceberg and Parquet formats within data lakes. This eliminates the need for ETL pipelines when combining transactional data with historical records.
AWSPlace pipeline processors anywhere you need them with Pipeline Control
Pipeline Control pipelines used to ship with a static, fixed structure , one Sample Rate node, one Filter node, one Transform node, in a set order. Now you can add and delete Sample Rate, Filter, and Transform processors at any point in the pipeline, in any order, as many times as you need.
The updated version of Pathpoint is now available in Public Preview
The updated version of Pathpoint is now available in Public Preview. When something breaks in a complex system, sometimes the hardest part isn't fixing it, but figuring out how it may impact the business and what part of the customer journey to look at first.
The new Astro experience is now live for all Organizations
The new Astro experience is now turned on for all Organizations and is out of Preview. It replaces the previous Astro experience, so there is no longer an opt-in or an option to switch back. The change doesn't affect your pipelines or configuration. Astro's navigation gives you a single view across your entire Organization instead of a single Workspace.
The Astro IDE is generally available
The Astro IDE is now generally available and is no longer a Preview feature. The Astro IDE is a browser-based workspace for Apache Airflow where you write Dag code, validate and test changes, and deploy or push your work without setting up a local development environment.
Containers - New scheduling policy for Containers to configure image and instance from Durable Objects
Containers now support the durable_object scheduling policy in public beta. This policy lets a Durable Object select the image and instance size for a Container at runtime instead of using one centrally managed configuration for the application.