stanford-oval/WikiChat
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
Implements a 7-stage LLM pipeline with structured information retrieval from Wikipedia (and custom corpora), using vector embeddings and LLM-based reranking to ground responses in retrieved passages with inline citations. Supports 25+ multilingual Wikipedias via a free rate-limited API, or can build custom indexes using Qdrant for vector search and Snowflake's Arctic embedding model. Integrates with 100+ LLMs through LiteLLM and LangChain, with optional multi-user deployment via Chainlit and Cosmos DB.
1,555 stars.
Stars
1,555
Forks
140
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/stanford-oval/WikiChat"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
renardeinside/chatten
RAG application (backend & frontend) with sources retriveal and highlighting on the Databricks Platform
tylertitsworth/multi-mediawiki-rag
A simple RAG chatbot that can retrieve from a mediawiki data dump
eplt/RAG_Ollama_Mac
Local RAG Chatbot with Ollama on Mac
wahl-chat/wahl-chat-backend
Backend source code of the wahl.chat platform. Our mission: Make politics more accessible.
Ohnoimded/maya_telegram_rag
Real Estate chatbot with RAG using Neo4j, Langchain, Ollama, Phi3