Results for “github-search”

15 skills

qdrant-search-quality

Diagnoses and improves Qdrant search relevance by isolating embedding model, configuration, or query strategy issues.

qdrant-search-quality-diagnosis

Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.

qdrant-search-speed-optimization

Diagnoses and resolves slow Qdrant search performance issues including high latency, low throughput, and slow filtered searches.

qdrant-search-strategies

Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.

qdrant-minimize-latency

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

github-project-contributor-finder-api-skill

Extract GitHub repository details and contributor contact information using keywords, star counts, and update dates via the BrowserAct API.

More results

qdrant-performance-optimization

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

qdrant-clients-sdk

Integrate Qdrant vector search into applications using officially supported client SDKs for Python, JavaScript, Rust, Go, .NET, and Java.

qdrant-monitoring

Guides monitoring and observability setup for Qdrant vector search deployments, including Prometheus scraping, health checks, and metric-based debugging of production issues.

postgresql-optimization

Optimize PostgreSQL databases with advanced features, performance tuning, and best practices for JSONB, full-text search, window functions, and indexing.

qdrant-model-migration

Guides embedding model migration in Qdrant without downtime, covering alias swap, side-by-side, and hybrid search strategies.

qdrant-sliding-time-window

Guides scaling Qdrant vector search with time-based data rotation using shard rotation, collection rotation, or filter-and-delete strategies.

qdrant-scaling-qps

Guides scaling Qdrant query throughput (QPS) through performance tuning, horizontal scaling with read replicas, and disk I/O optimization.

x-twitter-scraper

Integrate Xquik into apps, scripts, data pipelines, or AI agents for X API tasks like tweet search, user lookup, follower export, media actions, and webhook verification.