# Shared Knowledge RAG

> Use this tool when you need to augment AI responses with domain-specific knowledge or retrieve information from various vector stores. It solves problems of complex integration and limited access to knowledge by providing a unified interface for multiple vector store backends. The Shared Knowledge RAG takes in queries and vector store configurations as inputs and outputs relevant information to enhance AI-generated responses.

Canonical page: https://skillsregistry.net/skills/j5ik2o-shared-knowledge-rag  
JSON: https://api.skillsregistry.net/v1/skills/j5ik2o-shared-knowledge-rag

## Description

Shared Knowledge MCP Server enables AI assistants to access and retrieve information from various vector stores, supporting RAG (Retrieval Augmented Generation) workflows. The implementation supports multiple vector store backends including HNSWLib, Weaviate, and others, with a flexible architecture that allows easy switching between them through environment variables. Built with TypeScript and LangChain, it provides a unified interface for knowledge retrieval regardless of the underlying storage technology, making it particularly valuable for applications that need to augment AI responses with domain-specific knowledge without requiring complex integration work for each vector database type.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/j5ik2o-shared-knowledge-rag)
- **Repository:** <https://github.com/j5ik2o/shared-knowledge-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "j5ik2o-shared-knowledge-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j5ik2o-shared-knowledge-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j5ik2o-shared-knowledge-rag/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt