Best vector databases skills, page 2

Diagnoses and fixes slow Qdrant indexing and data ingestion.

qdrant/skills

Smart retrieval from Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient).

mem0ai/mem0

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.

langchain-ai/langchain-skills

Run Paro engineering performance gates and exploratory cold/warm, cross-engine or operator comparisons.

zunor/paro

Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, external structured-data import (CSV / SQL dumps), and MCP/tool calling.

liliang-cn/cortexdb

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID…

redis/agent-skills

Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

DemonDamon/AgenticX

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP.

secondsky/sap-skills

Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions.

mongodb/agent-skills

Searches for homologous protein sequences using MMseqs2 (fast, default) or BLAST (comprehensive, fallback).

google-deepmind/science-skills

Access protein metadata, function, taxonomy, and sequences across UniProtKB, UniParc, and UniRef.

google-deepmind/science-skills

Diagnoses and reduces Qdrant memory usage. An agent skill from qdrant/skills.

qdrant/skills

Guide developers through creating a custom retrieval pipeline plugin for AutoRAG-Research.

NomaDamas/AutoRAG-Research

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

Design or audit formal Paro performance claims: release acceptance, cross-engine parity, model calibration certification or non-inferiority.

zunor/paro

A skill your agent uses when the user references past sessions, asks 'what did we do', 'do you remember', 'last session', 'recall', or 'continue from'.

cwinvestments/memstack

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…

dotnet/skills

Expert in building Retrieval-Augmented Generation systems. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Guides Qdrant query latency optimization. An agent skill from qdrant/skills.

qdrant/skills

Switches cognee's LLM, embedding, relational, vector and graph backends through environment variables, with the extras to install and the traps to avoid.

topoteretes/cognee

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

Structure similarity search with Foldseek. An agent skill from adaptyvbio/protein-design-skills.

adaptyvbio/protein-design-skills

Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis.

majiayu000/claude-skill-registry

Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, and MCP/tool calling.

liliang-cn/cortexdb

Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos).

affaan-m/ECC

Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, Oracle Vector SDK, administration, app development, performance, security, migrations, and agent-safe database workflows.

oracle/skills

A skill your agent uses when building production LLM applications — designing RAG pipelines, choosing vector databases, implementing agent orchestration, optimizing cost, or adding AI safety…

kid-sid/claude-spellbook

Azure AI Search SDK for .NET (Azure.Search.Documents). An agent skill from microsoft/skills.

microsoft/skills

Guides embedding model migration in Qdrant without downtime.

qdrant/skills

Organizes research with the self-hosted Open Notebook alternative to NotebookLM.

K-Dense-AI/scientific-agent-skills

Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration…

aws/agent-toolkit-for-aws

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support.

ruvnet/ruflo

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…

oracle/skills

Deep-crawl any website from start URLs, return per-page LLM-ready text/markdown/HTML plus metadata (title, description, author, language, canonical URL, OG) and in-scope outbound links.

browser-act/skills

Diagnoses Qdrant production issues using metrics and observability tools.

qdrant/skills

Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.

omer-metin/skills-for-antigravity

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

databricks/databricks-agent-skills

Comprehensive toolkit for developing with the CocoIndex library.

davila7/claude-code-templates

Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist

ruvnet/ruflo

Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization.

qdrant/skills

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…

elementalsouls/Claude-BugHunter

Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies

RightNow-AI/openfang

Rerank retrieved passages by whether each one answers the question, drop the near-misses before they reach the prompt, and check every citation in the answer against the passage it points at.

mrmps/classifier-dev

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-templates

Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.

sickn33/agentic-awesome-skills