talkdai/dialog
RAG LLM Ops App for easy deployment and testing
Provides a containerized API built on dialog-lib that abstracts LLM integration, with PostgreSQL-backed chat history and vector storage for RAG pipelines, while emphasizing natural language output tuning over raw retrieval. Supports multiple LLM providers and includes optional Open-WebUI frontend integration for rapid prototyping without requiring API development expertise.
430 stars. No commits in the last 6 months.
Stars
430
Forks
58
Language
Python
License
MIT
Category
Last pushed
Dec 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/talkdai/dialog"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
michelderu/build-your-own-rag-chatbot
Workshop to build and deploy your own Chat Agent using Retrieval Augmented Generation with Astra DB
nicolaric/rahmenabkommen-gpt
"Ask your question about the new framework agreement between Switzerland and the EU." Answers...
ronantakizawa/cacheaugmentedgeneration
A Demo of Cache-Augmented Generation (CAG) in an LLM
ARUNAGIRINATHAN-K/pdf-RAG-question-answering
Upload PDFs → ask questions → get grounded answers.
Kesara03/knowledge-graph-rag-pipeline
Knowledge graph RAG system with LLM-powered entity extraction, Neo4j graph traversal, and hybrid...