"Semantic Search API Solutions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hybrid sparse-dense neural search with cross-encoder re-ranking and semantic retrieval over streamable HTTP.
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
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.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
An MCP server for search and retrieval over a local LanceDB database
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Cloudflare Workers MCP server: embedding-search
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Semantic nearest-neighbour search over your datasets, plus indices and projections.
A search engine that learns from your grades. Store text, records, images or embeddings.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Provides persistent memory for AI agents, enabling cross-session context storage, semantic search, and memory retrieval via MCP.
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
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
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
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.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
