Best vector databases skills, page 3

Tutorials, end-to-end walkthroughs, and complete reference projects for FrontMCP.

agentfront/frontmcp

Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

Memory is the cornerstone of intelligent agents. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Spectral vector search using graph Laplacian eigenstructure.

sickn33/agentic-awesome-skills

Expert system for searching USPTO MPEP, 35 USC statutes, 37 CFR regulations, and post-Jan 2024 updates.

RobThePCGuy/Claude-Patent-Creator

Builds a per-run LIGHT growth-vector database for the Diffmode growth-tactics pipeline by mining public growth case studies fresh, every run, and distilling each into atomic "growth factors"…

acogood/diffmode_free

Build production-ready LLM applications, advanced RAG systems, and intelligent agents.

curiositech/some_claude_skills

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.

aiskillstore/marketplace

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.

aiskillstore/marketplace

Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and…

mukul975/Anthropic-Cybersecurity-Skills

Guides Qdrant query throughput (QPS) scaling. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and fixes slow Qdrant search. An agent skill from qdrant/skills.

qdrant/skills

Guides sliding time window scaling in Qdrant. An agent skill from qdrant/skills.

qdrant/skills

Guides Qdrant multi-tenant scaling. An agent skill from qdrant/skills.

qdrant/skills

Guides Qdrant vertical scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.

github/awesome-copilot

Guides Qdrant scaling decisions. An agent skill from github/awesome-copilot.

github/awesome-copilot

Diagnoses Qdrant search quality issues. An agent skill from github/awesome-copilot.

github/awesome-copilot

Guides Qdrant search strategy selection. An agent skill from github/awesome-copilot.

github/awesome-copilot

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.

aiskillstore/marketplace

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database.

aiskillstore/marketplace

Build a marketing agency database from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api).

apify/awesome-skills

Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API — using intent-ranked web results + parsed page content as the…

brightdata/skills

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.

davila7/claude-code-templates

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses)

sickn33/agentic-awesome-skills

Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search.

sickn33/agentic-awesome-skills

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

github/awesome-copilot

A skill your agent uses when building vector retrieval with DashVector using the Python SDK.

cinience/alicloud-skills

A skill your agent uses when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search.

cinience/alicloud-skills

A skill your agent uses when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.

cinience/alicloud-skills

Guides Qdrant query volume scaling. An agent skill from qdrant/skills.

qdrant/skills

Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.

atherio-danp/cde-dotnetcc

腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS…

infometa/workbuddyskills

Guides Qdrant monitoring and observability setup. An agent skill from github/awesome-copilot.

github/awesome-copilot

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.

github/awesome-copilot

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.

aiskillstore/marketplace

A skill your agent uses when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG).

alirezarezvani/claude-skills

AgentDB memory system with HNSW vector search. An agent skill from ruvnet/ruflo.

ruvnet/ruflo

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

ruvnet/ruflo

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

github/awesome-copilot

Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit.

github/awesome-copilot

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

HKUDS/CLI-Anything

Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak.

qdrant/skills

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search.

google/skills

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud.

google/skills

Ingest and normalize market data into OHLCV vectors with HNSW indexing

ruvnet/ruflo

Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index

ruvnet/ruflo

Vector search via embeddings (large-scale HNSW) and ruvllmhnsw (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction

ruvnet/ruflo