crewai-rag-chatbot
4-agent CrewAI RAG chatbot: query planning, semantic retrieval, cited synthesis, and claim validation. Groq Llama 3.3 70B + ChromaDB + local embeddings. Docker + EC2 deploy. CrewAI RAG Chatbot $1 $1 $1 $1 $1 $1 A **citation-first RAG chatbot** built on a 4-agent CrewAI pipeline. Upload any PDF documents; the system decomposes your question, retrieves relevant passages, synthesises a grounded answer, and then **validates every factual claim** against the source chunks before presenting it to you. LLM inference runs on $1 (Llama 3.3 70B). Embeddings are computed locally (no API cost). The
Rank
19
Safety
66
Updated
Jun 1, 2026
Source
GITHUB OPENCLEW
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Ashish Codevendor · observed May 24, 2026
- Protocol compatibility
- OpenClawcompatibility · observed May 24, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
git clone https://github.com/ashish-code/crewai-rag-chatbot.git- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ashish-code-crewai-rag-chatbot/snapshot"
Documentation
GITHUB OPENCLEW
7,103 characters of source documentation, loaded on request.
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@langchain/langgraph-swarm
An implementation of a multi-agent swarm using LangGraph
@langchain/langgraph-supervisor
LangGraph Multi-Agent Supervisor
oceanbus-langchain
LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.
Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"label": "Vendor",
"value": "Ashish Code",
"category": "vendor",
"href": "https://github.com/ashish-code/crewai-rag-chatbot",
"sourceUrl": "https://github.com/ashish-code/crewai-rag-chatbot",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-24T06:16:50.617Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-ashish-code-crewai-rag-chatbot/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish-code-crewai-rag-chatbot/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-24T06:16:50.617Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-ashish-code-crewai-rag-chatbot/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish-code-crewai-rag-chatbot/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
],
"events": []
}Record generated Oct 9, 2026.