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Add up to 10,000 DOIs or GitHub URLs at a time, bringing them and their related entities into the graph. Build portfolios and run queries across them.
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io.github.lazymac2x/embedding-search
Cloudflare Workers MCP server: embedding-search
biocontext
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glama
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mcp.so
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nerq
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pulsemcp
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smithery
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Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness.
Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim).
Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.
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