Databases · 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

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

giancarloerra/SocratiCode

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

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

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

mnemosyne-oss/mnemosyne

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

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

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

qdrant/skills

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

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

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

qdrant/skills

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

ravendb/docs

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

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

zunor/paro

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

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

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

qdrant/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 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

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

adaptyvbio/protein-design-skills

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

Guides embedding model migration in Qdrant without downtime.

qdrant/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

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