Tame the data wilderness. Unleash Beast-Mode RAG.
BeastRAG is the monster-class retrieval engine and autonomous agent platform built for massive, messy enterprise data. Millisecond precision over millions of documents — no hallucinations, no context bloat.
- <40ms
- p99 retrieval latency
- 2M+
- tokens / sec ingest
- 31%
- lower LLM spend
- 99.2%
- answer accuracy
Trusted by data-heavy teams shipping in production
The data wilderness is brutal
Ordinary RAG collapses under real enterprise data
Complex PDFs, sprawling tables and million-token corpora break naive pipelines. BeastRAG was engineered for the chaos.
Vanilla RAG
- Chokes on scanned PDFs, financial tables & cross-page context
- Hallucinates once documents exceed the context window
- Pays for bloated, redundant context on every single call
- Single-shot Q&A with no planning or tool use
BeastRAG
- Multimodal Beast-Parser adapts to any layout, scan, or table
- Hybrid retrieval + reranking keeps recall high at any scale
- SlimContext™ trims tokens 30%+ while preserving accuracy
- Multi-agent workflows plan, retrieve & act autonomously
Inside the machine
Four engines. One monster of a pipeline.
Every stage is modular and independently scalable, from raw bytes to grounded answers.
Beast-Parser
Adaptive multimodal parsing for scanned docs, dense financial tables and ultra-long files — layout-aware down to the cell.
Vector Core
Hybrid dense + sparse indexing with billion-scale ANN search and live, incremental upserts. Bring your own embeddings.
Rerank Engine
Cross-encoder reranking with SlimContext™ token compression so only the highest-signal context ever reaches your model.
Agentic Layer
Multi-agent orchestration that plans, retrieves and calls tools — running autonomous workflows on cloud or on-prem.
Live performance simulator
Crank the load. Watch SlimContext™ work.
Drag the dials to model your workload and see how BeastRAG holds latency, cost and throughput while vanilla RAG buckles.
Workload
SlimContext savings
31%
lower spend at this workload
Lower is better
Lower is better
Higher is better
// BeastRAG keeps 9% of vanilla latency — the rest is wilderness it refused to carry
Built for builders
Zero-friction integration. Yours in three lines.
First-class SDKs for Python, JavaScript and .NET, an interactive API reference, and a self-hostable community edition you can spin up with one Docker command.
- Typed SDKsPython · JavaScript · C# (.NET) with full autocomplete.
- Open community editionSelf-host on your own GPUs, no vendor lock-in.
- Interactive docsRun live API calls straight from the reference.
from beastrag import Beast
beast = Beast(api_key="bk_live_...")
# Ingest the wilderness
beast.ingest(paths=["./reports/*.pdf"])
# Beast-mode query with SlimContext
answer = beast.query(
"Summarize FY25 revenue risk",
mode="agentic",
slim_context=True,
)
print(answer.text, answer.sources)Pricing
Start small. Scale to beast mode.
Transparent, usage-based pricing. No seats, no surprises.
Hacker
For developers, hackathons and weekend prototypes.
- 10k queries / month
- Up to 50k documents
- Beast-Parser (standard)
- Community SDK & Docker image
- Community support
Pro
For growing teams shipping RAG to real users.
- Pay-as-you-go, no minimums
- Custom vector stores & embeddings
- Advanced reranking + SlimContext™
- Agentic multi-agent workflows
- Priority email & Slack support
Beast Mode
For enterprises with private, high-concurrency workloads.
- Dedicated isolated clusters
- On-prem / VPC private deployment
- Millions of concurrent queries
- SOC 2, SSO & audit logging
- 24/7 SLA + solutions engineer
From the wild
Teams that stopped fighting their data
"We pointed BeastRAG at 4M scanned filings and it just devoured them. Latency stayed flat while our old stack timed out."
"SlimContext cut our LLM bill by a third in the first week. It paid for itself before the trial ended."
"Won our hackathon track with the free tier. Docker up, three lines of Python, grounded answers. Unreal."
Ready to go beast mode?
Spin up an index in minutes. Free to start, no credit card. Bring your messiest data and let the beast off the leash.