Enable semantic search over knowledge bases via MCP or HTTP endpoints.
npx skills add https://github.com/lorehq/lore --skill lore-semantic-search
Please help me install this Agent Skill. Skill: lore-semantic-search Source: https://github.com/lorehq/lore/tree/main/.lore/harness/skills/lore-semantic-search Command: npx skills add https://github.com/lorehq/lore --skill lore-semantic-search
Efficiently locate relevant information in large knowledge bases by using semantic search, reducing manual document sifting and speeding up decision making.
Query the knowledge base using semantic search to retrieve the most relevant results.
High-intent search queries and answers about installing and using this skill.
Semantic search over a local knowledge base works by matching query intent to return relevant documents and contextual snippets, reducing manual sifting and speeding up decision making in large datasets.
Yes, you can perform semantic search via direct HTTP endpoints as a fallback for environments without MCP support, ensuring reliable access to query results and contextual snippets.
To integrate semantic search into an MCP-enabled environment, use the available MCP-based integration for unified search and path resolution to retrieve relevant documents and snippets.
When the local sidecar is unavailable, semantic search applies safe fallback behavior to maintain stability, while still satisfying query parameter handling and health check requirements.
Yes, semantic search explicitly satisfies requirements for query parameter handling and health checks across both local MCP-enabled environments and direct HTTP endpoint integrations.
JansenAnalyticsIngest URLs, local files, and PDFs into a searchable SQLite knowledge base.
LauraFlorentinRetrieves relevant documents from a knowledge base to ground responses.
zengbaochengWrap flight search, web search, and knowledge-base APIs into MCP servers.
BEKO2210Search knowledge bases semantically with vector embeddings and keyword fallback.
