weaviate/Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 86
- Release rhythm 16
- Longevity 80
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 95
- age_days: 1132
- days_rel: 415
- days_push: 86
- n_releases_24m: 4
Adoption not part of the score
7711 stars · 853 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Verba is an open-source end-to-end RAG application built on Weaviate, providing a user-friendly interface for ingesting data and chatting with it via LLMs like Ollama, OpenAI, Cohere, and Anthropic. The repository has been archived and is no longer maintained.
Use cases
- build a chatbot over my own documents
- run a local RAG app with Ollama
- query my dataset with an LLM assistant
- set up retrieval augmented generation out of the box
- chat with PDFs using Weaviate
- self-host a question-answering assistant
When to choose
- you want a ready-made RAG UI on top of Weaviate
- you want to fork a reference RAG implementation
- you need local-first RAG with Ollama/HuggingFace
When to avoid
- you need active maintenance, security patches, or support
- you want a production-supported RAG stack
- you need features beyond what the archived code provides
Facets
application · maturity abandoned
rag chatbot search-engine llm-inference chatbots large-language-models python self-hosted weaviate vector-search ollama openai end-to-end-rag retrieval-augmented-generation docker web-server
1 source
- readme: https://github.com/weaviate/Verba · fetched 2026-08-28 · ffed964966f0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| weaviate/Verba | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem