Vector databases

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.

giancarloerra/SocratiCode

Update LanceDB to a specific Lance release or tag. An agent skill from lancedb/lancedb.

lancedb/lancedb

Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.

ruvnet/ruflo

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts.

giancarloerra/SocratiCode

TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK.

trypostit/trypost

Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes.

Orchestra-Research/AI-Research-SKILLs

Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys.

microsoft/skills

Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability.

topoteretes/cognee

Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.

shuyu-labs/WebCode

Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment.

google/adk-recipes

A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.

timescale/pg-aiguide

Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.

sopaco/cortex-mem

Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.

mnemosyne-oss/mnemosyne

Builds AI agents on the Convex agent component: threads, messages, tools that call queries and mutations, streaming, RAG with vector search, and workflows for multi step jobs.

waynesutton/builder-skills

Search, query, and manage Weaviate vector database collections.

weaviate/agent-skills

Writes and rewrites public-facing product documentation with a semi-technical tone, ASD-STE100 Simplified Technical English, clear structure, and careful disclosure.

surrealdb/docs.surrealdb.com

Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces.

Orchestra-Research/AI-Research-SKILLs

Guides and best practices for working with Lakebase Postgres, the database behind Neon.

usenotra/notra

A skill your agent uses when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the…

sudomakes/backroad

Explains how to run Qdrant, a Rust vector database, for RAG and semantic search, covering collections, points, distance metrics and filtered or batched queries.

Orchestra-Research/AI-Research-SKILLs

Use FlowFlow spaces safely through their scoped MCP server. An agent skill from mirkobozzetto/flowflow.

mirkobozzetto/flowflow

Structured memory capture for Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant/skills

Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.

Jeffallan/claude-skills

Invoke ML models, run vector search, and connect to MCP servers from Databricks Apps.

databricks-solutions/databricks-apps-cookbook

Run or troubleshoot Valkey Search C++ and Python integration tests, including focused development runs, full-suite verification, and packaging/build or runtime failure classification.

valkey-io/valkey-search

Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech.

qdrant/skills

Explains how cognee's two migration chains run, how to check and repair migration state with cognee-cli, and how to write new Alembic or graph and vector migrations.

topoteretes/cognee

Core operations for HyperspaceDB — a multi-geometry vector database.

YARlabs/hyperspace-db

Guides Qdrant deployment selection. An agent skill from qdrant/skills.

qdrant/skills

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

momori777/Artemis

A skill your agent uses to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).

timescale/pg-aiguide

Design, refactor and diagnose Paro's staged optimizer, using EXPLAIN COMPILE for planning and EXPLAIN ANALYZE for execution.

zunor/paro

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP…

neondatabase/agent-skills

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data.

davila7/claude-code-templates

Covers distance metrics, index types and tuning for similarity search on vector databases, from semantic search to RAG retrieval.

wshobson/agents

Guides Qdrant search strategy selection. An agent skill from qdrant/skills.

qdrant/skills

Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.

wshobson/agents

Tune vector indexes for latency, recall and memory: pick an index type by data size, adjust HNSW parameters and choose a quantization level.

wshobson/agents

Find open valkey-search pull requests that have not been updated in more than 30 days.

valkey-io/valkey-search

Diagnoses and guides Qdrant horizontal scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

A skill your agent uses when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools.

agentfront/frontmcp

Framework for building LLM-powered applications with agents, chains, and RAG.

Orchestra-Research/AI-Research-SKILLs

Admin and maintenance workflows for Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

Read this before writing any RavenDB query, client call or /databases/ request.

ravendb/docs

Walks through turning on semantic search in Open Second Brain: embedding key, sqlite-vec extension, first reindex and an optional periodic refresh, starting from o2b search check.

itechmeat/open-second-brain

Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.

joshzyj/open-scholar-skill