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
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
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
- readme: https://github.com/finic-ai/rag-stack · fetched 2026-08-28 · 49af1446a96d
- homepage: https://www.chatmyfiles.com/ · fetched 2026-08-29 · 44136fa355b3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| finic-ai/rag-stack | main | 29 |
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