Rust AI Begins!
🦀 Rust + AI 🗓️ July 27th 2026 | 5:00 - 8:30 PM 🍕 Food: Yes, there will be free food :) Pizza from Flour + Water 💥 Free to attend – limited spots available Join us for the inaugural Rust + AI meetup in San Francisco. What to expect: The night will introduce you to peers from the SF Bay Area who are working on, or interested in leveraging Rust in novel new ways. * You'll hear from leading Rust AI companies in the Bay Area and beyond through a series of lighting talks. * We'll finish up the evening with networking opportunities, and feedback for where to take this new community. We'll have talks by: LakeSail: Shehab Amin, rebuilding the Spark Lakehouse ecosystem in Rust LaserData: Kranti Parisa, building a fast streaming service in Rust with Apache Iggy CocoIndex: Linghua Jin, streaming context change Valkey: Manvika Tuteja, Valkey GLIDE, Community, Overview Databricks: Nick Lanham, Why we built delta-kernel-rs. Temporal: Melanie Warrick & Melissa Herrera, What an Agent Is Made Of: Managing the Agentic Loop in Rust pgGraph: Native Graph Performance inside Postgres, Dale Prescott Ng, Evokoa Columnar: Emil Sadek, Universal Data Connectivity for Agentic Systems Eventual: Everett Kleven, Daft running Python coroutines in Tokio ... you — email us! Community Blog All updates and contents will be shared at the rust.ai blog. We invite speakers to contribute guest posts with all the resources to share. Email Alexy below to get an author invite. Sponsorship If you'd like to host, present, and/or sponsor, contact Alexy at [contact redacted]. For the quality of thoughtful software engineering, distributed systems, and AI at scale, see ai.bythebay.io, our community conference, and lu.ma/_ai AI Agent SF meetups.
Talks & recordings
12 connected sessions
Building a Fast Streaming Service in Rust with Apache Iggy — Kranti Parisa, LaserData
Kranti Parisa explains LaserData’s Apache Iggy-based streaming platform and its use of thread-per-core execution, io_uring, zero-copy serialization, and Kafka-compatible streaming concepts.
CocoIndex: A Rust Context Engine for Production AI — Linghua Jin
Linghua Jin presents CocoIndex, a Rust-core context engine that incrementally turns changing unstructured assets into extracted structures, search indices, knowledge graphs, and other fresh AI views.
Extended Context for AI Agents with pgGraph and pgContext — Dalton Prescott Ng & Dale Everett Ng, Polygres
The Polygres founders explain how pgGraph adds cache-conscious, multi-hop graph traversal inside PostgreSQL and how graph and vector retrieval provide richer agent context.
Lakehouse on Sail with Type-Level Semantics — Alexy Khrabrov, QueryGraph.ai
Alexy Khrabrov presents the QueryGraph lakehouse stack: Sail, an agentic semantic layer, LakeCat governance, Typesec and TypeDID security, and the Grust graph API.
Connections
16 relationships