Supplements, definitely — for a specific workload. General document retrieval at scale (millions of chunks, read-heavy, doc-search patterns) is well-served by existing vector stores; YantrikDB doesn't compete on throughput. Where it's meant to supersede is the narrow case of agent memory: small-to-medium corpus, write-heavy with paraphrases every turn, lives for the lifetime of an agent identity, nothing curating the input.

Your "user believes X" framing is exactly the episodic/semantic split cognitive psych has been calling this for decades. YantrikDB exposes it via memory_type ∈ {episodic, semantic, procedural}. Your intuition about context poisoning from over-specific episodic details lines up with how I've been thinking about it — "we talked about AI at 1am" is high-noise low-signal for future retrieval. The design bet is consolidation + decay should burn episodic into semantic over time, and episodic-only memories should fade faster.

What does WVF stand for? Curious what you've been experimenting with.