Vector databases

Salesforce Data Cloud Retrieve phase. An agent skill from Jaganpro/sf-skills.

Jaganpro/sf-skills

编写"数据库筑基课"文章的专用 Skill，面向数据库架构师、DBA 和业务开发者。输入一个筑基课文章标题及相关参考资料（技术文档、产品手册、开源项目地址、deepwiki、论文等），输出图文并茂、结构完整的 Markdown 筑基课文章，保存至项目 markdown/…

digoal/blog

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Managed vector DB for production RAG and search. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Vector search engine for production RAG systems. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Semantic memory and context - store and retrieve information with embeddings for similarity search.

harperreed/dotfiles

Expert in vector databases, embedding strategies, and semantic search implementation.

aiskillstore/marketplace

Ingest new procedural memory (skills, patterns, docs) into the vector database.

Qredence/agentic-fleet

A skill your agent uses when the user wants to rebuild or refresh ScholarAIO keyword, full-text, FTS5, FAISS, or semantic search indexes after data or metadata changes.

ZimoLiao/scholaraio

Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…

open-edge-platform/edge-ai-libraries

Migrate an existing memory setup ONTO MemMesh — either from another vendor (Mem0, Zep, Letta/MemGPT, a raw vector store) or from MemMesh Local (SQLite) up to MemMesh Hosted.

ThinkfleetAI/memmesh

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

rrezartprebreza/spring-boot-skills

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

rrezartprebreza/spring-boot-skills

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).

aws/agent-toolkit-for-aws

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

A skill your agent uses when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining…

NVIDIA/skills

A skill your agent uses when building Spring Boot applications with Neo4j using Spring Data Neo4j (SDN 7.x/8.x) — @Node entity mapping, @Relationship, @RelationshipProperties, Neo4jRepository…

neo4j-contrib/neo4j-skills

Bulk-export Podium conversation, review, and contact history into a vector-store-ready corpus with cursor-paginated full crawls, CDC via updatedat watermarks, attachment URL refresh on expiry…

jeremylongshore/tons-of-skills-marketplace

Bridge a live Podium call transcript or webchat turn to an LLM by fetching relevant historical conversation context as a structured RAG bundle — vector search over embedded prior conversations +…

jeremylongshore/tons-of-skills-marketplace

Execute use when provisioning Vertex AI infrastructure with Terraform.

jeremylongshore/tons-of-skills-marketplace

Comprehensive protein analysis combining InterProScan domain identification with BLAST similarity search to provide complete functional and evolutionary annotation.

InternScience/scp

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

aiskillstore/marketplace

Vector database retrieval and evidence-based answering for medical research topics.

aipoch/medical-research-skills

Enable and configure Moltbot/Clawdbot memory search for persistent context.

sundial-org/awesome-openclaw-skills

Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration…

aws/agent-toolkit-for-aws

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…

brycewang-stanford/Auto-Empirical-Research-Skills

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

ruvnet/ruflo

Build NodeTool document ingestion, vector indexing, retrieval, and RAG pipelines.

nodetool-ai/nodetool

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

qdrant/skills

Guides building on Qdrant Edge, the embedded in-process shard.

qdrant/skills

Setting up and running Qdrant Hybrid Cloud on your own Kubernetes cluster (managed, on-prem, or edge): prerequisites, storage/CSI and backups, installing the Qdrant Cloud agent and operator…

qdrant/skills

Explains hybrid search in Qdrant. An agent skill from qdrant/skills.

qdrant/skills

Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion).

qdrant/skills

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model.

qdrant/skills

Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant.

qdrant/skills

Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications.

qdrant/skills

Diagnoses Qdrant search quality issues. An agent skill from qdrant/skills.

qdrant/skills

Sizes a Qdrant deployment before it is provisioned. An agent skill from qdrant/skills.

qdrant/skills

Covers upgrading Qdrant server and SDKs without interrupting availability or losing data integrity.

qdrant/skills

Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or…

neo4j-contrib/neo4j-skills

Machine learning toolkit for genomic interval (BED) data; use it when you need to tokenize BED collections and train embeddings for regions/cells/labels, build consensus peak universes, or run…

aipoch/medical-research-skills

Multi-agent swarm orchestration via RuFlo + Claude Code. An agent skill from LeoYeAI/openclaw-master-skills.

LeoYeAI/openclaw-master-skills

Performs molecular similarity searches using Tanimoto coefficient on fingerprints via RDKit.

FreedomIntelligence/OpenClaw-Medical-Skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Reindexes KB for semantic search via vector store (Qdrant). An agent skill from softspark/ai-toolkit.

softspark/ai-toolkit

RAG: embeddings, chunking, hybrid search (BM25+vector), reranking, CRAG, multi-hop.

softspark/ai-toolkit

Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation.

managedcode/dotnet-skills