How should Agentic_RAG be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

Agentic_RAG answer-first brief

Agentic RAG System – A multi-agent Retrieval-Augmented Generation (RAG) system built with CrewAI for business intelligence and document analysis. It integrates ChromaDB for document storage and retrieval, real-time web search, and specialized agents for code execution and visualization, enabling automated trend analysis and insights generation 🤖 Agentic RAG System A comprehensive **Agentic RAG (Retrieval-Augmented Generation)** system built with $1 that demonstrates multi-agent collaboration for business intelligence and document analysis. ✨ Key Features - **🗄️ ChromaDB Integration**: Document storage and retrieval with persistent vector database - **🔍 Web Search Capabilities**: Real-time web search using SerperDevTool - **🤝 Multi-Agent System**: Speci Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

Agentic_RAG is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGITHUB REPOSSafety: 66/100

Agentic_RAG

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Vishalpatel72

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Vishalpatel72

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone <your-repo-url>
   cd agentic-rag-practical-example

bash

pip install uv

bash

crewai install

bash

cp .env.example .env

bash

SERPER_API_KEY=your_serper_api_key_here
   GROQ_API_KEY=your_groq_api_key_here
   LLM=groq/llama3-70b-8192
   OPENAI_API_KEY=your_groq_api_key_here  # Used for CrewAI validation

bash

python src/agentic_rag/load_chroma_docs.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

🤖 Agentic RAG System

A comprehensive Agentic RAG (Retrieval-Augmented Generation) system built with CrewAI that demonstrates multi-agent collaboration for business intelligence and document analysis.

✨ Key Features

🗄️ ChromaDB Integration: Document storage and retrieval with persistent vector database
🔍 Web Search Capabilities: Real-time web search using SerperDevTool
🤝 Multi-Agent System: Specialized agents for different tasks (RAG, Web Search, Code Execution)
⚡ Fast LLM Inference: Supports Groq and Gemini APIs for high-speed processing
📊 Business Intelligence: Automated analysis and visualization generation
🏗️ Hierarchical Process: Manager agent coordinates specialized workers
🔧 Flexible Configuration: Easy switching between LLM providers

📋 View Detailed Architecture Specification

Complete technical specification of the multi-agent architecture with ChromaDB integration, web scraping capabilities, and hierarchical task coordination for comprehensive business intelligence analysis.

🚀 Quick Start

Prerequisites

Python >=3.10, <=3.13
UV for dependency management

Installation

Clone the repository:

git clone <your-repo-url>
cd agentic-rag-practical-example

Install UV:
```
pip install uv
```
Install dependencies:
```
crewai install
```

Configuration

Copy environment template:
```
cp .env.example .env
```

Add your API keys to .env:

SERPER_API_KEY=your_serper_api_key_here
GROQ_API_KEY=your_groq_api_key_here
LLM=groq/llama3-70b-8192
OPENAI_API_KEY=your_groq_api_key_here  # Used for CrewAI validation

Load documents into ChromaDB (optional):

python src/agentic_rag/load_chroma_docs.py

Running the Project

crewai run

This will:

Analyze business documents using RAG
Generate comprehensive business trends report
Create visualization code for data insights
Output results to outputs/ directory

🏗️ Architecture

Agents

📚 Document RAG Agent: Retrieves information from ChromaDB vector database
🌐 Web Agent: Performs real-time web searches using SerperDevTool
💻 Code Execution Agent: Generates and executes analysis code

Tasks

📋 Fetch Tax Docs: Retrieves relevant documents from internal database
❓ Answer Question: Provides detailed answers using RAG
📈 Business Trends: Analyzes trends and generates insights
📊 Graph Visualization: Creates data visualization code

Tools

ChromaDBTool: Custom tool for vector database operations
SerperDevTool: Web search capabilities
ScrapeWebsiteTool: Website content scraping and analysis

📁 Project Structure

agentic-rag-practical-example/
├── src/agentic_rag/
│   ├── config/
│   │   ├── agents.yaml          # Agent configurations
│   │   └── tasks.yaml           # Task definitions
│   ├── tools/
│   │   └── chromadb_tool.py     # Custom ChromaDB tool
│   ├── crew.py                  # Main crew definition
│   ├── main.py                  # Entry point
│   └── load_chroma_docs.py      # Document loader
├── internal_docs/               # Sample documents
├── db/                         # ChromaDB storage
├── outputs/                    # Generated reports
├── .env.example               # Environment template
└── README.md

🔧 Configuration Options

Switching LLM Providers

The system supports multiple LLM providers. Update your .env file:

For Groq:

LLM=groq/llama3-70b-8192
GROQ_API_KEY=your_groq_api_key
OPENAI_API_KEY=your_groq_api_key

For Gemini:

LLM=gemini/gemini-1.5-pro
GEMINI_API_KEY=your_gemini_api_key
OPENAI_API_KEY=your_gemini_api_key

Customizing Queries

Edit src/agentic_rag/main.py to change the analysis query:

inputs = {
    "query": "Your custom business question here",
    "company": "Your Company Name",
    "company_description": "Brief company description",
}

📊 Output Examples

The system generates:

Business Trends Report (outputs/business_trends.md)
- Financial analysis over multiple years
- Revenue and expense trends
- Profitability insights
Visualization Code (outputs/visualize.ipynb)
- Python matplotlib scripts
- Interactive data visualizations
- Chart generation code

🛠️ Development

Adding Custom Tools

Create a new tool in src/agentic_rag/tools/
Import and add to agent configuration in crew.py
Update agent YAML configurations as needed

Training the Crew

crewai train <n_iterations> <filename>

Testing

crewai test <n_iterations> <model_name>

🤝 Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

CrewAI for the multi-agent framework
ChromaDB for vector database capabilities
Groq for fast LLM inference

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/snapshot"

curl -s "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/contract"

curl -s "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-16T23:45:35.108Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Vishalpatel72",
    "href": "https://github.com/vishalpatel72/Agentic_RAG",
    "sourceUrl": "https://github.com/vishalpatel72/Agentic_RAG",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:56.921Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:56.921Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vishalpatel72-agentic-rag/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]