Retriva — AI skill for Claude Code
Self-hosted, production-ready RAG chatbot agent — upload documents, get accurate AI answers with citations, agentic tool/API calling, and multi-turn memory.
How to install Retriva
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Razaurrehman/retriva and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Retriva does
Self-hosted, production-ready RAG chatbot agent — upload documents, get accurate AI answers with citations, agentic tool/API calling, and multi-turn memory. Built with Claude, Voyage AI & Qdrant. Embed into e-commerce, CRM, or support apps.
Alternatives in AI
- WeKnora — Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, an 26.9k ★
- Welcome — AI Research Skills — You now have access to 86 production-ready skills covering the entire AI research lifecycle: literature survey 5.4k ★
- Contributing To Claude Skills Library — Thank you for your interest in contributing to the Claude Skills Library 5.3k ★
README
Retriva
**Retriva** is a self-hosted, production-ready **RAG chatbot agent** — an open-source AI assistant you can train on your own documents in minutes and embed into any application. Built for teams who want an accurate, controllable **knowledge-base chatbot** without handing their data to a black-box SaaS.
Upload PDFs, Word docs, spreadsheets, or plain text; ask questions; get clean, structured JSON answers with real citations back to the source. Retriva also does **agentic tool/API calling** out of the box — it ships with a working example (order-status lookup) so you can see exactly how to wire in your own live systems (order management, ticketing, a CRM, inventory, anything with an API).
**Why Retriva:**
- 🔍 Accurate retrieval, not guesswork — vector search over your own documents, with citations on every answer
- 🛠️ Agentic tool use — the LLM decides when to search your knowledge base vs. call a live API, the same way modern AI agents work
- 💬 Real conversation memory — multi-turn context with automatic summarization, not a stateless Q&A box
- 📦 Train by uploading, not fine-tuning — drop in a document, it's searchable in seconds, no ML expertise required
- 🔌 Embed anywhere — a clean REST API built for e-commerce, CRM, customer support, internal tools, or any app that needs an AI assistant grounded in real data
- 🔒 Self-hosted and private — your documents and conversations never leave your own infrastructure
- ⚡ Production-ready from day one — rate limiting, fail-fast config validation, structured error handling, and a real test suite, not a weekend prototype
Powered by **Claude** (Anthropic), **Voyage AI** embeddings, and **Qdrant** vector search — the same class of stack behind today's leading AI agent products, running entirely under your control.
Stack
- LLM: Anthropic Claude (
claude-sonnet-5by default) - Embeddings: Voyage AI (
voyage-3) - Vector store: Qdrant
- Metadata/conversation store:
Related Skills
RAG Voice Study Assistant
RAG + voice study assistant: a tool-calling Claude agent that answers questions from your own CS notes and pas
AI Document Assistant
Secure, multi-tenant enterprise document intelligence & RAG platform: sandboxed ingestion, hybrid pgvector/Qdr
Ragent
Agentic RAG chatbot that answers questions from uploaded PDFs using semantic search (FAISS + embeddings), with
RAG Support Agent
Financial document AI: evidence-checked extraction (structured outputs), RAG Q&A with page citations, a tool-c
Footnote
Agentic RAG: an AI research agent for your documents. It plans its own searches, retries, and every claim link
Secure AI Customer Support Platform
Secure LLM-powered customer support platform: an AI agent (Claude) with grounded RAG answers, authorization-en
Related Agents
Manual Verifier
Independent fact-checker for answers built from the Ford service manual. Give it the vehicle, the question and
Hosting Security Auditor
Security review for cPanel-hosted sites - exposed secrets and .git directories, file permissions, .htaccess ha
Agentapp Builder
Agent 应用构建工程师(Context Engineering 合一)。当需要编写 system prompt / 角色设定、定义工具(tool/function calling)契约、设计 RAG 检索与 cont