< cd ../gallery
[AI & ML]
contextual-retrieval-by-anthropic by NeuralVulture
Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”). Maintained by NeuralVulture on GitHub, where it has earned 28 stars from the community.
@NeuralVulture
maintainer
★ 28 stars
# install
pip install contextual-retrieval-by-anthropicmore Ollama repos
AI & ML
A gradio webui for Andrewyng translation-agent. Maintained by snekkenull on GitHub, where it has earned 30 stars from the community.
1y ago
AI & ML
Tiny client for LLMs with vision and tool calling. As simple as it gets. Maintained by piEsposito on GitHub, where it has earned 85 stars from the community.
1y ago
AI & ML
Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!. Maintained by ThomasJanssen-tech on GitHub, where it has earned 88 stars from the community.
1y ago
