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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/
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Stock-symbol vectors: which listed symbols an event, theme or headline moves, ranked in one call.
Compare GPU specs and cloud rental offers, check CUDA support, and estimate Qdrant resources.
Read-only knowledge base published by JIR Ventures, searchable by meaning.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Cloudflare Workers MCP server: embedding-search
Hosted Upstash MCP server: Redis, QStash, Workflow, Vector, Search, Box and Blob, with OAuth.
Search and SQL on object storage: full-text, vector and hybrid search plus SQL over your data.
- AmberOAuthcom.ambermem
Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Same functionality, consuming only 1/20 of the context window tokens.
