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Chroma · For data scientists

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1

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs13k7 repos~2.3kAutomated safety check: PassMIT3 mo ago
2

Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.

Orchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT3 mo ago
3

Process documents with Blockify API to create optimized IdeaBlocks for RAG.

iternal-technologies-partners/blockify-agentic-data-optimization315—~6.2kAutomated safety check: NotesUnknown5 mo ago
4

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

davila7/claude-code-templates33k3 repos~2kAutomated safety check: PassMITyesterday
5

Command-line interface for ChromaDB - A stateless CLI for managing vector database collections, documents, and semantic search.

HKUDS/CLI-Anything52k—~727Automated safety check: PassApache-2.019 days ago
6

A skill your agent uses when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week).

coco-research/coco513—~1kAutomated safety check: PassUnknownyesterday