The Living Memory of EffortAgent — Knowledgebase + RAG
EffortAgent’s Knowledgebase is a long-term memory system. It uses embeddings to store and retrieve concepts from everything you’ve uploaded: PDFs, slide decks, reports, notes, even past AI conversations.
Vectorized Thinking
Every file is broken into semantically rich segments and stored using vector similarity. When generating or querying, EffortAgent retrieves the most relevant snippets instantly — powering intelligent writing with factual accuracy.
LangGraph Orchestration with RAG
LangGraph doesn’t just call RAG — it plans how and when to call it, combining context from the document, the chat memory, and user questions. This gives you smarter responses, fewer hallucinations, and grounded reasoning.
From File to Audio to Insight
Using the same vectors, EffortAgent can now generate audio briefings or podcast-style narrations summarizing long documents. This makes content more accessible across formats and teams.
Workflows That Grow Smarter
- Turn a 40-page PDF into a blog, podcast, and internal guide
- Ask any question across your files
- Use prior work to draft new proposals or reports
EffortAgent’s Knowledgebase is more than search — it’s the foundation for lifelong content learning and reuse.