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פעיל

Memory

Grounded retrieval over your own material, with receipts.

מה זה עושה

Documents, transcripts and uploads are chunked, embedded and indexed, then retrieved by a hybrid of vector similarity, keyword match and graph centrality at answer time. Retrieved passages carry receipts, so an answer can point at the source that produced it, and access rules filter the corpus before retrieval rather than after.

למה זה חשוב

An agent that cannot cite is an agent you cannot check. Retrieval with receipts turns "the AI said so" into "this document says so, here it is", which is the difference between a demo and something you would let talk to a customer.

איך זה עובד

  • Access filtering happens before retrieval

    The corpus an agent can search is already narrowed by policy, so a permission mistake cannot surface as a leaked citation.

  • Hybrid scoring, not vector-only

    Vector similarity is combined with keyword match and graph centrality, which is what keeps exact identifiers and rare terms findable.

  • Answers carry grounding receipts

    The passage that produced a claim is attached to the claim, rather than reconstructed afterwards.

שאלות

Does the agent remember our conversations?
Not in the way "memory" usually implies. This is retrieval over material you supply. Conversation history is kept per session; it is not distilled into a persistent profile.
How does retrieval work?
Documents are chunked, embedded and indexed. At answer time a hybrid of vector similarity, keyword match and graph centrality selects the best passages, and each one carries a receipt back to its source.
בחזרה לסיפור

That was step 5 of 6: the agent consults its bag. Next, tasks, delegation edges, decisions and artifacts persist as rows you can replay, and the spend is already accounted for.