WisdomForge

Created at 8 months ago

by hadv

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A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.

Categories

knowledge-and-memory

Tags

mcp

rag

qdrant

qdrant-vector-database

mcp-server

modelcontextprotocol

WisdomForge

What is WisdomForge?

WisdomForge is a powerful knowledge management system designed to forge wisdom from experiences, insights, and best practices, utilizing the Qdrant vector database for efficient knowledge storage and retrieval.

How to use WisdomForge?

To use WisdomForge, clone the repository from GitHub, install the necessary dependencies, configure your environment variables in a .env file, and then build and start the server. You can deploy it locally or on the Smithery.ai cloud platform.

Key features of WisdomForge?

  • Intelligent knowledge management and retrieval
  • Support for multiple knowledge types (best practices, lessons learned, insights, experiences)
  • Configurable database selection via environment variables
  • Uses Qdrant's FastEmbed for efficient embedding generation
  • Domain knowledge storage and retrieval
  • Deployable to Smithery.ai platform

Use cases of WisdomForge?

  1. Storing and retrieving domain-specific knowledge.
  2. Managing best practices and lessons learned in organizations.
  3. Integrating with AI IDEs for enhanced knowledge management.

FAQ from WisdomForge?

  • What databases does WisdomForge support?

WisdomForge supports Qdrant and Chroma vector databases.

  • Is there a cloud deployment option?

Yes, WisdomForge can be deployed on the Smithery.ai cloud platform.

  • How do I configure the environment variables?

You can configure the environment variables in the .env file based on the provided template.

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