Dynamic Weighting
Each query gets its own retrieval path, so easy requests stay lean and hard ones get more context.
Agentic retrieval infrastructure
Boost Your Research With Self-Improving Context
Dasein is building fast dynamic hybrid search for teams that need retrieval to stay sharp, scalable, and simple to operate.
Compression-First Indexing
APD keeps more of the corpus compact in memory while preserving search quality.
Agent-Ready Latency
Designed for workflows that need fast context without breaking the flow of the interaction.
Better than leading models and standard implementations
68%
Less Token Use
Lower token use compared with fixed top-k retrieval.
10x
Faster
Faster search paths for production agent workflows.
+22%
R@1
Stronger recall from query-aware ranking.
from a real customer:
"Their deep research tool helped me feel like AI was actually keeping track of the cutting edge in my field."
Workflow
How It Works
Dasein's proprietary compression model enables unparalleled scale and quality at minimal cost.
Embed Text
Use our complimentary text embedding models or bring your own vectors to populate the index.
Build Index
We automatically detect and configure your index to maximize efficiency and recall while minimizing latency.
Query
Our compression magic does not just save space, it speeds up queries, delivering premium latency for a fraction of the cost.
FAQ
Facts and Questions
Dasein is a philosophical term meaning “being-there” or “existence in context.” We use it deliberately: Dasein models knowledge as it exists in relation. Entities only have meaning through their relationships, constraints, and outcomes. Our system optimizes embeddings not for similarity alone, but for correct behavior inside real reasoning workflows.
If you are looking for an affordable, hassle-free hybrid index for a dev or hobby project, yes. Otherwise, read on. APD Indexing has increasing benefits with scale, so if you are looking for something more complex, please contact us.
Yes. Every account includes 50M free embedding tokens monthly with prominent open source models.
That is what it does best. At scale, we deliver significantly lower latency with better or equal quality and can fit far more on a single box. Our default plans cap out at 1M vectors, so if you have outgrown that tier, contact us directly.
It is plain and simple: we did what we do best. We compressed BM25. We set incredibly high quality standards and can guarantee you will not know the difference.