usemoss / moss
The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
Why this job: topics: rag, semantic-search, hybrid-search
What it does
- Sub-10 ms semantic search. single-digit-ms p99 in our benchmarks
- Hybrid search. semantic + keyword in a single query
- Built-in embedding models. no OpenAI key required (or bring your own)
- Metadata filtering. $eq, $and, $in, $near operators
- Runs in the browser too. separate WebAssembly SDK (@moss-dev/moss-web) for client-side semantic search with no server
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 806
- +7 this week
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.14.0
- Released 2 days ago
- Built with
- Python
- 39% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 41% closed
- 70 still open
- Pull requests
- 269 merged
- 68 waiting
- Releases
- 31
- 30+ in the last year
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More: languages, topics and project record
Languages
- Python 39%
- TypeScript 34%
- Swift 9%
- Elixir 8%
Topics
- ai-agents
- ai-infra
- hybrid-search
- rag
- real-time
- retrieval
- semantic-search
- voice-ai
Project record
- JobRAG and search
- StatusListed
- Commits286
- Forks104
- Watching0
- Stars in 28 days+19
- CreatedOct 4, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026