Tool Stack
RAG Starter Stack
Minimum viable stack to ship a production RAG chatbot.
Purpose
Ingest documents, embed, retrieve, and generate grounded answers.
Tools Included
- OpenAI / Lovable AI
- pgvector (Postgres)
- LangChain or LlamaIndex
- Next.js or TanStack Start
Workflow Supported
Alternatives
- Pinecone instead of pgvector
- Vercel AI SDK instead of LangChain
Use Cases
↳ connected nodes
Workflow↳ linked
Build an Internal Knowledge Bot
Ship a Slack bot that answers questions from your company docs.
Workflow↳ linked
AI Customer Onboarding Flow
Walk every new user through activation with an AI guide.
Use Case↳ linked
SaaS Co. Cuts Support Tickets 40% With Internal Bot
A 50-person SaaS deployed a RAG bot over their help center and internal wiki.
Use Case↳ linked
E-commerce Brand Automates 70% of Support Tickets
A DTC brand deployed a RAG support agent over policies, FAQs, and order data.
Dictionary↳ linked
RAG (Retrieval-Augmented Generation)
Inject external knowledge into an LLM at query time.
Dictionary↳ linked
Vector Database
A database optimized for similarity search over embeddings.
Comparison↳ linked
RAG vs Fine-Tuning
When to retrieve, when to retrain.
Comparison↳ linked
Chatbot vs AI Agent
Conversational interface vs autonomous executor.
Prompt↳ linked
Grounded Answer Prompt
Force the model to answer only from provided sources, with citations.
Dictionary↳ linked
Semantic Search
Finding information by meaning rather than exact keyword match.
Workflow↳ linked
RAG Content Ingestion Pipeline
Convert messy docs into searchable, cited knowledge chunks for AI systems.
Comparison↳ linked
Vector Database vs Knowledge Graph
Similarity retrieval versus explicit relationship mapping.
Use Case↳ linked
Support Team Replaces Wiki Sprawl With a Knowledge Graph
A support org connected policies, playbooks, tickets, and RAG answers into one system.