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Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
识律法律检索 MCP（lex-platform-v1）：法条检索与条级引用解析（law_db 全目录 + Qdrant law_chunks_v2 语义检索）、类案… — 想 7×24 常驻 → 萬星
Same functionality, consuming only 1/20 of the context window tokens.
