Shared Knowledge FAQs

Question 1

What vector stores are supported?

Accepted Answer

Shared Knowledge supports HNSWLib, Chroma, Pinecone, and Milvus, offering flexibility in choosing the best vector store for your needs.

Question 2

What is RAG and how does Shared Knowledge use it?

Accepted Answer

RAG (Retrieval Augmented Generation) is a technique used to improve the accuracy and relevance of AI-generated content by retrieving information from a knowledge base. Shared Knowledge uses RAG to ensure AI assistants have access to up-to-date and accurate information.

Question 3

What is Shared Knowledge?

Accepted Answer

Shared Knowledge is a tool that allows multiple AI assistants to access and utilize a common knowledge base. It uses Retrieval Augmented Generation (RAG) for high-precision information retrieval.

Question 4

How do I install and configure Shared Knowledge?

Accepted Answer

You can install Shared Knowledge using npm and configure it by adding settings to your AI assistant's configuration file. The README provides detailed instructions.

Question 5

What kind of information can I search using rag_search tool?

Accepted Answer

You can search for virtually anything stored in the configured knowledge base: code snippets, documentation, project-related rules, markdown texts, and much more. You can filter your search by file type and source path.

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