Relace Blog
Published Dec 8, 2025
Exploiting parallel tool calls to make agentic search 4x faster
Exploiting parallel tool calls to make agentic search 4x faster
Exploiting parallel tool calls to make agentic search 4x faster
Today we're releasing Fast Agentic Search (FAS), a code-specific subagent trained with RL to search through codebases for files relevant to a user request.
Models
Exploiting parallel tool calls to make agentic search 4x faster
Published Dec 8, 2025
Today we're releasing Fast Agentic Search (FAS), a code-specific subagent trained with RL to search through codebases for files relevant to a user request.
Models
Exploiting parallel tool calls to make agentic search 4x faster
Published Dec 8, 2025
Today we're releasing Fast Agentic Search (FAS), a code-specific subagent trained with RL to search through codebases for files relevant to a user request.
Models
Exploiting parallel tool calls to make agentic search 4x faster
December 8, 2025
Today we're releasing Fast Agentic Search (FAS), a code-specific subagent trained with RL to search through codebases for files relevant to a user request.
Models
A Year of Fast Apply — The Path to 10k Tokens per Second
Published Oct 29, 2025
Relace Apply 3, and how we built the series of models that took us past 1M ARR.
Models
A Year of Fast Apply — The Path to 10k Tokens per Second
Published Oct 29, 2025
Relace Apply 3, and how we built the series of models that took us past 1M ARR.
Models
A Year of Fast Apply — The Path to 10k Tokens per Second
October 29, 2025
Relace Apply 3, and how we built the series of models that took us past 1M ARR.
Models
Instant Apply now 4300 tok/s
Published May 25, 2025
Accurately merge semantic code snippets with initial code with near zero latency.
Models
Instant Apply now 4300 tok/s
Published May 25, 2025
Accurately merge semantic code snippets with initial code with near zero latency.
Models
Instant Apply now 4300 tok/s
May 25, 2025
Accurately merge semantic code snippets with initial code with near zero latency.