For your product
A familiar path to ship grounded answers: index your knowledge, drop in the SDK, and keep the UI focused on the conversation.
Grid
An in-process search runtime for voice agents and copilots—fast enough that context never stalls the turn.
Trusted by teams building real-time AI
Humans and agents share one retrieval layer—loaded beside the runtime, ready before the next sentence starts.
A familiar path to ship grounded answers: index your knowledge, drop in the SDK, and keep the UI focused on the conversation.
Agents query locally with full project context—no waiting on a remote hop every time they need a fact.
Package knowledge once. Grid distributes and refreshes it wherever the session runs—browser, edge, or server.
Grid sits under the chat—not another console of filters. Your agent embeds, searches, and returns ranked context as a local call.
Ground FAQs, docs, and product facts mid-call without pausing for a network round trip.
Add session indexes on the fly—short-lived context that syncs when the conversation ends.
Same API in the browser, on a phone, or behind your agent server. Swap surfaces without rewriting retrieval.
Point Grid at your corpus. It builds a compact index, ships it to the runtime, and keeps it fresh with hot swaps—no cluster to babysit.
Indexes, sessions, and filters—structured enough for teams, fast enough for live dialogue.
Built for teams shipping conversational products.
Semantic and keyword search in one pass, with metadata filters.
Bundle compact models or bring your own vectors.
Index during a call, then sync when you’re ready.
Rust core with WASM—browser to backend without a rewrite.
Wire Grid into the agent framework you already use.
No shards to tune. Load an index, query, move on.
Skip the retrieval lag. Start with Grid and keep every turn in the conversation.