Local RAG and Multimodal Search Tools
Key Questions
What tools are featured in Local RAG and Multimodal Search Tools?
The highlight covers tools like LM Studio with Nomic/BlinkO, Paperless-ngx for OCR/tagging integrated with Obsidian, Recall using ChromaDB and Raycast, PicoOraClaw with FAISS and Qwen, Spring AI, Karpathy LLM Wiki, InfraNodus for knowledge graphs with n8n/RAG, SearXNG in Docker, and toggling between local-offline and online research. This collection focuses on local implementations for RAG and multimodal search. The project is currently in development.
Can Obsidian LLM Wiki run entirely locally?
Yes, the kytmanov/obsidian-llm-wiki-local GitHub project runs 100% locally using Ollama by default. It is also compatible with any OpenAI endpoint, including Groq, Together AI, LM Studio, vLLM, and Azure OpenAI.
How does InfraNodus contribute to LLM reasoning in this highlight?
InfraNodus enables building AI Ontologies using Knowledge Graphs to enhance LLM reasoning. It integrates with n8n and RAG workflows as part of the local RAG tools ecosystem.
LM Studio Nomic/BlinkO; Paperless-ngx OCR/tagging w/Obsidian; Recall ChromaDB/Raycast; PicoOraClaw FAISS/Qwen; Spring AI; Karpathy LLM Wiki; InfraNodus KG/n8n/RAG; SearXNG Docker; offline research toggling local-online.