Hardware-Accelerated Retrieval
Engineered for SSD performance. Uses binary seeking and Logical Block Addressing to find context windows in microseconds.
→ seek_time: ~10μs
LynSøk: Ultra-Fast Local Context for AI
The high-performance retrieval engine that turns massive document archives into instant LLM knowledge. No vector database bloat, no cloud latency. Native speed, total privacy.
Engineered for Performance
Three core innovations that make LynSøk the fastest local retrieval engine
Optimized Binary Format
Our custom .lyn format combines raw data and BM25 indexing into a single, portable file designed for high-speed random access.
→ format: .lyn
Ready for MCP
The missing bridge between your private documents and AI agents. Expose your knowledge base to any LLM via the Model Context Protocol.
→ protocol: MCP
Smart Chunking Technology
Beyond Keyword Search
LynSøk intelligently identifies sentence and paragraph boundaries to provide coherent context windows for AI evaluation, not just random snippets.
Traditional Search
...orm LBA to find conte... xt windows in microseco...
...ge document archi... xt windows into inst...
✗ Fragmented results
LynSøk Smart Chunking
LynSøk uses binary seeking and Logical Block Addressing to find
context windows in microseconds with complete sentence boundaries.
✓ Coherent, AI-ready context
10μs
Average seek time
100%
Local & Private
Zero
Cloud dependencies
Dual Interface
Command-line power meets visual dashboard elegance
terminal
$ lynsok serve --mcp
✓ Loaded archive: nlf_documents.lyn
✓ Index size: 2.4GB (14,532 documents)
✓ MCP server started on port 8080
INFO Ready for queries
→ Query: "data sovereignty"
12μs • 8 results
▋
LynSøk Dashboard
14.5K
Documents
2.4GB
Archive Size
RECENT QUERIES
"data sovereignty"12μs • 8 results
"BM25 indexing"9μs • 12 results
"binary format"11μs • 6 results
private_documents.lyn
✓ INDEXED