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Search Retrieval , found 13 results

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BLIP-2 Vision Language

blip-2-vision-language

Orchestra-Research/AI-Research-SKILLs

BLIP-2 is a vision-language pre-training framework that links frozen image encoders with LLMs to generate captions, answer visual questions, perform image-text retrieval, and drive multimodal chat with strong zero-shot accuracy.

Chroma Embedding Database

Orchestra-Research/AI-Research-SKILLs

Chroma is an open-source embedding database that stores vectors and metadata, supports lightweight local usage through a simple four-function API, and scales from notebooks to production for semantic search, RAG, and document retrieval.

CLIP Vision-Language

Orchestra-Research/AI-Research-SKILLs

OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.

Context Engineering Fundamentals

context-fundamentals

sickn33/antigravity-awesome-skills

Teaches engineers how to manage LLM context windows, covering system prompts, tool definitions, retrieval, message history, and tool outputs along with attention budgets and progressive disclosure so agent architectures stay efficient and debuggable.

FAISS Similarity Search

Orchestra-Research/AI-Research-SKILLs

FAISS is Facebook AI’s high-speed similarity search library for billion-scale dense vectors, offering multiple index types plus GPU acceleration to support latency-sensitive k-NN retrieval without metadata filtering.

Iterative Context Retrieval

iterative-retrieval

affaan-m/everything-claude-code

Iterative Context Retrieval orchestrates multi-agent workflows by progressively refining dispatch/evaluate/refine/loop cycles to gather the precise code context a sub-agent needs without overwhelming it.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data framework that connects LLMs with documents via ingestion, indexing, and querying for RAG, chatbots, and knowledge retrieval, offering connectors, vector indices, query engines, and agents.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

High-performance Rust-based vector similarity engine for production RAG and semantic search, enabling hybrid filtering, multi-vector storage, distributed scaling, and REST/gRPC access for low-latency recommendations and retrieval.

RAG System Architect

Jeffallan/claude-skills

Guides architects in building production-grade retrieval-augmented generation systems via document chunking, embedding generation, vector store setup, hybrid search, reranking, and evaluation for knowledge-backed AI services.

Similarity Search Patterns

similarity-search-patterns

sickn33/antigravity-awesome-skills

Guides efficient similarity search with vector stores for semantic search, RAG retrieval, recommendation engines, API latency optimization, and scaling to millions of vectors.

Model Version Tracker

tracking-model-versions

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to manage AI/ML model versions through the model-versioning-tracker plugin, automating logging, lineage tracking, performance summaries, and version retrieval whenever users request registry or deployment support.

TwinMind SDK Patterns

twinmind-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready TypeScript and Python patterns for TwinMind AI memory and meeting intelligence REST APIs, covering authenticated clients, memory storage/retrieval, meeting context creation, batching, and rate-limit aware retries to standardize integrations.

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