Moonshot AI released a specialized Hybrid Code Search API powered by Kimi k1.5. Combining dense vector semantic embeddings with sparse AST inverted indexes, it resolves cross-file call hierarchies across 10-million-line monolithic codebases with search latency under 80ms.

Key Takeaways

  • ✓Combines dense vector embeddings with AST syntax indexes to disambiguate overloaded symbols.
  • ✓Delivers sub-80ms semantic retrieval across code repositories exceeding 10 million lines.
  • ✓Exposes standard REST and gRPC endpoints for easy integration with enterprise code review tools.
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Kimi k1.5 (Reasoning) · in: $0.6 / out: $2.4
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Moonshot AI · Kimi k1 5 · Code search
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Up NextMoonshot launches Kimi K3.1 Pro: 2.8T-total / 104B-active open-weight MoE with 1M context, 65.7% on Terminal-Bench 4.0, API at $2/$10, weights by Nov 4
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