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Recall — AI Knowledge Base

Product Design, AI UX, Prototyping · Python LangChain React Pinecone OpenAI
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The Problem

Enterprise teams were losing institutional knowledge to disconnected wikis, Slack threads, and email chains. Finding the right document meant knowing it already existed — a problem that compounded with every new hire and every team restructure.

The Solution

We built a semantic search layer that understands intent, not just keywords. Documents surface by relevance to a question rather than folder structure. A chat-style interface met users where they already work, reducing context-switching and making knowledge retrieval feel natural.

Outcome

Knowledge retrieval accuracy up 68% vs. keyword search.