markneilpascual/deepseek_langgraph
LangGraph RAG pipeline using DeepSeek‑V2 (67B) via Hugging Face Transformers.
This project helps AI application developers build advanced retrieval-augmented generation (RAG) systems. It takes unstructured text data and a user query, then delivers highly relevant and contextually informed responses by integrating DeepSeek-V2 language models. Developers who need to create sophisticated question-answering or content generation tools will find this useful.
No commits in the last 6 months.
Use this if you are an AI application developer building RAG pipelines and want to leverage the DeepSeek-V2 large language model within a LangGraph framework.
Not ideal if you are not a developer, or if you need a pre-built, out-of-the-box RAG solution without custom coding.
Stars
8
Forks
—
Language
Python
License
—
Category
Last pushed
Jun 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/markneilpascual/deepseek_langgraph"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses...
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications...
vectara/py-vectara-agentic
A python library for creating AI assistants with Vectara, using Agentic RAG