Databases · Embeddings

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

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

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

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

wshobson/agents

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

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

A skill your agent uses for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations.

timescale/pg-aiguide

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

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

Comprehensive toolkit for developing with the CocoIndex library.

davila7/claude-code-templates

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

RightNow-AI/openfang

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

Diagnoses Qdrant search quality issues. 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

Debug the signals pipeline locally end-to-end. An agent skill from PostHog/posthog.

PostHog/posthog

A skill your agent uses when writing code that runs concurrently in ChatbotX — BullMQ worker consumers, sharded DB migrations, embedding replace-writes, or any multi-step operation that could be…

ChatbotXIO/ChatbotX

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

aiskillstore/marketplace

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

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

qdrant/skills

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

qdrant/skills

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

softspark/ai-toolkit

Manage the ChromaDB vector database that stores the ecosystem's persistent memory.

EliasOulkadi/shokunin

Persistent memory across AI sessions using ChromaDB vector database.

EliasOulkadi/shokunin

Diagnoses and improves Qdrant search relevance. An agent skill from qdrant/skills.

qdrant/skills

Connect to Supabase for database operations, vector search, and storage.

sundial-org/awesome-openclaw-skills

A skill your agent uses when using Redis or any Redis-protocol store (Valkey, ElastiCache, Upstash, Dragonfly, Memorystore) as a cache, queue, rate limiter or distributed lock and it has to be…

ericrisco/rsc-harness

A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric…

ericrisco/rsc-harness

First-install playbook for a fresh Cornelius - builds the local search engine (Python venv + FAISS + the embedding model), starts the search daemon, rebuilds the index so its stored paths match this…

Abilityai/cornelius

Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services.

aws/agent-toolkit-for-aws