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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Moss
Moss

Moss

Founded 2024

Run fast semantic search inside AI agent runtimes

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Moss to perform fast semantic searches directly inside your AI agents and applications. Instead of sending queries to external vector databases over the network, it runs search queries in-memory across browsers, edge environments, mobile devices, and servers. You can index text, run hybrid searches combining keywords and vector embeddings, and synchronize data across local runtimes. This setup eliminates round-trip latency for retrieval-augmented generation pipelines, making voice agents, support bots, and interactive copilots respond without awkward pauses during live user conversations.

What Moss does

Index text documents using Python or TypeScript SDKsExecute hybrid vector and keyword search queries locallyEmbed search runtimes into WebAssembly browser applicationsConnect retrieval pipelines to voice frameworks like LiveKit and VapiCache and sync vector indexes to local client devicesReplace cloud vector database round trips in conversational flowsRuns in-memory retrieval queries in under 10 millisecondsExecutes searches directly in browser, edge, device, or cloud runtimesCompiles to WebAssembly and runs without an external database connectionCombines semantic vector search with keyword matchingWorks offline once indexes are downloaded onto the deviceSyncs indexed data automatically across local sessions and devicesProvides native software development kits for Python and TypeScript

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
DeveloperFree
Hobbyist$30 / mo
Start-up$200 / mo

Tutorials & Demos

Frequently asked

Eleven labsEleven labsLangChainLangChainDSPyDSPyNext.jsNext.js

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Moss, semantic search, vector search, RAG, in-memory search, Rust, WebAssembly, voice AI, edge search, AI agents, embedded retrieval, local search, hybrid search, AI copilots, fast retrieval