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Search Vector Data , found 16 results

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Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Chroma Embedding Database

Orchestra-Research/AI-Research-SKILLs

Chroma is an open-source embedding database for AI apps, offering metadata-aware storage, vector and full-text search, and a tiny API that scales from notebooks to production clusters for semantic search, document retrieval, and RAG.

Context Engineering Specialist

context-manager

sickn33/antigravity-awesome-skills

Provides elite guidance on dynamic context management, vector databases, knowledge graphs, intelligent memory, RAG, and multi-agent workflows so AI systems maintain relevant, actionable information across enterprise scenarios.

FAISS Vector Similarity

Orchestra-Research/AI-Research-SKILLs

FAISS is Facebook AI Research’s high-performance library for billion-scale vector similarity search, with Flat, IVF, HNSW, and PQ indexes plus GPU support for fast k-NN retrieval in embedding-heavy systems without metadata needs.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex bridges large language models with structured sources by ingesting documents from 300+ connectors, building vector/list/tree indices, and powering query engines or agents within RAG pipelines—ideal for document Q&A, knowledge bases, and enterprise retrieval scenarios.

Pandas Pro Workflow

Jeffallan/claude-skills

Expert pandas helper for efficient DataFrame analysis, cleaning, merging, grouping, resampling, and pivoting with vectorized operations, dtype tuning, memory checks, and validation.

Managed Vector Database

Orchestra-Research/AI-Research-SKILLs

Fully managed vector database for production AI apps, providing auto-scaling, low p95 latency, hybrid dense+sparse search, namespaces, and metadata filtering so teams can run RAG, recommender, or semantic search workflows without managing infrastructure.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

Qdrant is a Rust-powered vector database that drives production RAG and semantic search systems by offering rapid nearest neighbor retrieval, hybrid filtering, quantization options, and distributed sharding/replication for scalable embedding workloads.

RAG Engineer

sickn33/antigravity-awesome-skills

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, ...

RAG Implementation Workflow

rag-implementation

sickn33/antigravity-awesome-skills

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

Similarity Search Patterns

similarity-search-patterns

sickn33/antigravity-awesome-skills

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

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