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Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Cloudflare Workers MCP server: embedding-search
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.
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,…
- XataOAuthio.github.xataio
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
