Manage LEANN vector indexes for semantic search via gRPC.
npx skills add https://github.com/lev-os/lev-content --skill lev-index
Please help me install this Agent Skill. Skill: lev-index Source: https://github.com/lev-os/lev-content/tree/main/sources/skills/lev-index Command: npx skills add https://github.com/lev-os/lev-content --skill lev-index
This Skill provides efficient vector index management for semantic search, enabling rapid and accurate retrieval of information through advanced LEANN technology.
Build a new index from the directory '/path/to/your/docs' and name it 'documentation'.
High-intent search queries and answers about installing and using this skill.
Build a vector index for semantic search by targeting a specific directory and naming the resulting LEANN-powered index. This process creates a searchable graph-based structure for rapid information retrieval.
Yes, you can add new content to an existing semantic search index incrementally. This feature allows continuous updates to the LEANN-powered vector index without rebuilding it from scratch.
Graph-based vector indexes reduce storage for semantic search by using LEANN techniques to structure the data efficiently. This approach minimizes the storage footprint compared to traditional flat vector indexes.
Check the health of a LEANN-powered vector index to ensure it is functioning correctly for semantic search. This diagnostic process verifies the structural integrity and search readiness of the index.
Yes, you can query a vector index directly via a gRPC service for semantic search. This allows rapid and accurate retrieval of information from the indexed content over the network.
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