rag-web-ui/rag-web-ui
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
Repository profile
No description.
Repository updates
Get generated HatmanStack/RAGStack-Lambda development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-08 03:10
5 captures since 2026-05-23
Stars from baseline +4
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-08 03:10
package.json
javascript ecosystem,
5 dependencies
pyproject.toml
python ecosystem,
0 dependencies
requirements.txt
python ecosystem,
20 dependencies
package-lock.json
javascript ecosystem,
96 dependencies
uv.lock
python ecosystem,
1 dependency
lib/requirements.txt
python ecosystem,
11 dependencies
lib/setup.py
python ecosystem,
7 dependencies
src/ragstack-chat/package.json
javascript ecosystem,
16 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Showing the first 24 paths. 13 more detected.
Nearest indexed repositories by embedding similarity.
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
🤖 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.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.