RAG_Techniques alternatives
NirDiamant/RAG_Techniques (30k stars, +49 this week): A collection of runnable notebook tutorials covering techniques for building Retrieval-Augmented Generation (RAG) systems. Why it matters: relevant for grounding LLMs in your own data.
Below are 6 other RAG / vector repos tracked by OSS Radar that share at least two GitHub topics with RAG_Techniques, ordered by how many topics overlap, then by stars gained in the last 7 days. Topic overlap means a similar problem space, not a drop-in replacement, so check each project's README.
1. HKUDS/LightRAG
+35/wkest.[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation. Why it matters: relevant for grounding LLMs in your own data.
40k stars · Python · shared topics: gpt, llm, rag, retrieval-augmented-generation
2. microsoft/graphrag
+28/wkest.A modular graph-based Retrieval-Augmented Generation (RAG) system. Why it matters: relevant for grounding LLMs in your own data.
36k stars · Python · shared topics: gpt, llm, llms, rag
3. infiniflow/ragflow
+77/wkest.RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a… Why it matters: relevant for grounding LLMs in your own data.
92k stars · Go · shared topics: ai, rag, retrieval-augmented-generation
4. deeplethe/utopia
+63/wkest.World's first open-source enterprise world model. Why it matters: relevant for grounding LLMs in your own data.
8.3k stars · Rust · shared topics: llm, rag, semantic-search
5. cdcailf/cjkfold
+41/wkest.Fold look-alike CJK glyphs (Kangxi radicals, CJK radical supplements) so text extracted from PDFs matches again. Why it matters: relevant for grounding LLMs in your own data.
41 stars · Python · shared topics: nlp, rag
6. opendataloader-project/opendataloader-pdf
+28/wkest.PDF Parser for AI-ready data. Automate PDF accessibility. Open-source. Why it matters: relevant for grounding LLMs in your own data.
30k stars · Java · shared topics: ai, rag
More: all trending RAG / vector repos · compare RAG_Techniques with the top 2