All stacks

Knowledge Base Stack

Production-ready document Q&A system. Upload documents, ask questions, get cited answers.

$0-50/month6 layers

Best For

Internal wikis, legal document analysis, customer support, research assistants, exam prep

Stack Components

1
Framework

LlamaIndex / LangChain

RAG orchestration, ingestion to query end-to-end

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2
Vector DB

ChromaDB / Weaviate / Supabase

Document storage and retrieval

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3
Embeddings

E5-Mistral-7B (best accuracy)

Best open-source embeddings for retrieval accuracy

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4
LLM

Claude Sonnet 4.6 (79.3% SWE)

Excellent at following instructions and citing sources

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5
UI

Open WebUI

Chat interface with document upload, RAG-ready out of the box

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6
Eval

RAGAS

Measure RAG pipeline performance

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Tools in this Stack

Anthropic's official CLI for Claude Sonnet 4.6

Free tierAPIPopular
No credit card required
Limited free usage with Sonnet 4.6
API3 models
View Claude Code details

Production RAG framework

Open sourcePopular
No credit card required
100% open source
Hybrid
View LlamaIndex details

Simple Python-native vector DB

Open sourcePopular
No credit card required
Free, unlimited local
Hybrid
View ChromaDB details

RAG evaluation framework

Open sourceLocal
No credit card required
Open source
Local
View RAGAS details

Best accuracy, self-hostable

Open sourcePopular
No credit card required
Free, self-host or HF
Hybrid
View BGE Embeddings details