by ENDEVSOLS · Agent Tool · ★ 26
Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.
| Stars | 26 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 40.75/100 |
| Last Updated | 2026-05-07 |
| Created | 2023-12-07 |
| Platforms | python |
| Est. Tokens | ~115k |
Explore other popular agent tool tools:
Long-Trainer is Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.. It is categorized as a Agent Tool with 26 GitHub stars.
Long-Trainer is primarily written in Python. It covers topics such as agent, agentic-workflows, conversational-ai.
You can find installation instructions and usage details in the Long-Trainer GitHub repository at github.com/ENDEVSOLS/Long-Trainer. The project has 26 stars and 3 forks, indicating an active community.
Long-Trainer is released under the MIT license, making it free to use and modify according to the license terms.