Knowledge Retrieval

OrganizationPopular

open-gitagent

knowledge-retrieval

Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)

Overview

Publisher	open-gitagent
Repository	`opengap`
Skill name	`knowledge-retrieval`
Stars	2.9K
Forks	348
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by open-gitagent on GitHub. Read the source before you install it.

Installation

Install the Knowledge Retrieval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/open-gitagent/opengap/tree/main/examples/nvidia-deep-researcher/skills/knowledge-retrieval

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/open-gitagent/opengap.git /tmp/opengap
mkdir -p .claude/skills
cp -r /tmp/opengap/examples/nvidia-deep-researcher/skills/knowledge-retrieval .claude/skills/knowledge-retrieval

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Retrieval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Knowledge Retrieval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Knowledge Retrieval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Knowledge Retrieval

Perform semantic search over a pre-ingested document collection using Retrieval-Augmented Generation (RAG). Backed by LlamaIndex with ChromaDB or NVIDIA Foundational RAG.

When to Use

Searching internal or pre-ingested documents and reports
Finding information in PDFs, whitepapers, or technical documentation
Retrieving domain-specific knowledge not available on the open web
This is the highest priority source — check the knowledge base first before web or paper searches

How to Use

Formulate a semantic search query describing the information needed
Call knowledge_retrieval with the query
Review returned chunks for relevance
Note the citation metadata (filename, page number) for sourcing

Result Format

Results are returned as text chunks with citation metadata:


Relevant text passage from the ingested document...

Citation: filename.pdf, p.12

Constraints

Searches only over documents that have been ingested into the knowledge index
Returns ranked chunks based on semantic similarity
Citation format: Citation: filename.ext, p.X
Each call counts toward the researcher's 8-call limit per task

Backend Options

LlamaIndex + ChromaDB — Local vector store with LlamaIndex orchestration
NVIDIA Foundational RAG — NVIDIA-hosted RAG service with NeMo Retriever

Frequently asked questions

What does the Knowledge Retrieval AI skill do?

Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)

Why use Knowledge Retrieval on TypingMind?

Because you install it once and use it with any model. Knowledge Retrieval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Knowledge Retrieval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/open-gitagent/opengap/tree/main/examples/nvidia-deep-researcher/skills/knowledge-retrieval. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Retrieval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Knowledge Retrieval?

As many as you like. As long as a model supports skills, you can use Knowledge Retrieval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Knowledge Retrieval AI skill free?

Yes. It is published on GitHub by open-gitagent under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Knowledge Retrieval

When to Use

How to Use

Result Format

Constraints

Backend Options

Frequently asked questions

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