Kb

About

Kb provides a Model Context Protocol (MCP) server implementation powered by txtai, offering semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface. It leverages txtai's unified embeddings database to combine vector indexes, graph networks, and relational databases. Users can build knowledge bases from various sources, export them as portable archives, and serve them through the MCP server for semantic search, knowledge graph querying, and text processing pipelines.

Key Features

• Knowledge graph querying and visualization
• AI-driven text processing pipelines
• Semantic search capabilities leveraging txtai
• Portable knowledge bases via compressed archives
• Causal boosting mechanism for enhanced relevance scoring

Use Cases

• Providing semantic search over a collection of documents.
• Building AI-powered applications that require context and reasoning.
• Querying and visualizing knowledge graphs derived from text.