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finic-ai/rag-stack

🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All. observed · 2026-08-28

github.com/finic-ai/rag-stack · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

29/100

  • Activity 0
  • Release rhythm 35
  • Longevity 82

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1148
  • days_rel: n/a
  • days_push: 1087
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1586 stars · 138 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RAGstack is a self-hostable private ChatGPT alternative that deploys open-source LLMs (Llama 2, Falcon, GPT4All) alongside the Qdrant vector database inside your VPC. It includes a server and UI for uploading PDFs and chatting over your organization's knowledge base using retrieval-augmented generation.

Use cases

  • deploy a private chatgpt alternative inside my vpc
  • chat with my company's internal documents using an llm
  • build a corporate knowledge base chatbot with open-source models
  • run retrieval augmented generation on-premise for security compliance
  • query pdfs and confluence docs with a self-hosted llm
  • set up qdrant and llama 2 for enterprise rag

When to choose

  • you need data privacy and want LLM inference and embeddings kept inside your own VPC
  • you want to avoid OpenAI API costs by using open-source models like Llama 2 or Falcon
  • you need a quick, batteries-included RAG stack with vector database, server, and chat UI
  • your organization requires on-premise or self-hosted knowledge base search

When to avoid

  • you want the highest answer quality from frontier commercial models like GPT-4
  • you need a fully managed service without operating Kubernetes/GKE infrastructure
  • your project needs active development and frequent updates - the last release was in 2023
  • you only need a lightweight embedding or vector search library rather than a full chat application

Facets

application · maturity maintenance

rag llm-inference vector-database chatbot chat-interface self-hosted large-language-models artificial-intelligence self-hosted chatbots self-hosted cloud private-chatgpt vpc-deployment qdrant llama-2 falcon gpt4all knowledge-base pdf-chat corporate-search retrieval-augmented-generation docker web-server typescript

2 sources

Member repositories

RepositoryRoleHealth v2
finic-ai/rag-stackmain29

For agents

markdown · JSON · MCP: product_card(name="finic-ai/rag-stack")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem