The request "vector-setup" names no specific product, so these are the candidates that offer vector storage or vector search: Pinecone is a dedicated vector database with its own indexing and query actions 414, Redis provides vector indexes on hashes and an MCP server 313, Upstash offers a serverless vector database with an SDK 616, and Supabase includes vector embeddings in its Postgres platform 515. Which platform or constraint you are working under (cloud, language, managed vs
A question back: Which cloud, language, or hosting constraint should the vector setup fit (for example managed service vs. self-hosted, or a specific language SDK)?
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Pineconepinecone.ioverified and signed
Pinecone is a vector database; its pinecone integration manages vector indexes and queries, and its Search Vectors action finds similar records in a namespace 14.
official:MCP server · @pinecone-database/mcpSDK · @pinecone-database/pineconeskill · pinecone+9 community tools built for it
for agents: pinecone · get_vector · search_vector
- 2
Redisredis.iofound in code, not yet checked
Redis provides vector similarity search, and its create_vector_index_hash action builds an HNSW vector index on a Redis hash 13.
official:MCP server · Redis MCP ServerSDK · redisskill · redis-coreSDK · redis+32 community tools built for it
for agents: set_vector_in_hash · create_vector_index_hash · redis-development
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Upstash Vectorupstash.comverified and signed
Upstash is a serverless vector database, and its @upstash/vector SDK handles embeddings and similarity search 16.
official:MCP server · @upstash/mcp-serverskill · documentation-lookupskill · find-docsskill · upstash-ratelimit-jsskill · upstash+4 community tools built for it
for agents: upstash-vector-js · upstash · upstash-search-js
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Supabasesupabase.comverified and signed
Supabase is a Postgres development platform that includes vector embeddings, and its supabase-postgres-best-practices skill covers Postgres work 15.
official:SDK · @supabase/supabase-jsCLI · supabasepackage · Supabaserepository · supabaseskill · supabase-postgres-best-practices+95 community tools built for it
for agents: supabase-postgres-best-practices · supabase · list_tables
Sources
- 3Redis - Real-time data for agents & appsredis.io · read 2026-10-29
- 4The trusted AI knowledge company | Pineconepinecone.io · read 2026-10-29
- 5Supabase | The Postgres Development Platformsupabase.com · read 2026-10-29
- 6Upstash: Serverless Data Platform - Redis, Vector, Searchupstash.com · read 2026-10-30
- 13Redis MCP Server: declares "set_vector_in_hash" (the record we read)github.com · read 2026-10-24
- 14pinecone: declares "pinecone" (the record we read and signed)unfragile.ai · read 2026-10-24
- 15supabase-postgres-best-practices: declares "supabase-postgres-best-practices" (the record we read and signed)unfragile.ai · read 2026-10-24
- 16upstash-vector-js: declares "upstash-vector-js" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
storing-and-querying-vectors · storing-and-querying-vectors verified and signed
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate
stripe-projects · stripe-projects verified and signed
Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: "I need a database", "set up auth", "add caching", "give me a Postgres", "provision Redis", "I need hosting", "add a vector DB", "get me an API key for X", "get credentials for X", "sign up f
set_vector_in_hash · Redis MCP Server found in code, not yet checked
Store a vector as a field in a Redis hash.
pinecone · pinecone verified and signed
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Acce
supabase-postgres-best-practices · supabase-postgres-best-practices verified and signed
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS
upstash-vector-js · upstash-vector-js verified and signed
Work with the @upstash/vector TypeScript/JavaScript SDK, a serverless vector database for embeddings, similarity search, semantic search, and RAG (retrieval-augmented generation). Use when upserting, querying, fetching, ranging, or deleting vectors, upserting raw text against an index with a built-i
vectorize-create-vectorize-index · Cloudflare API verified and signed
Create Vectorize Index
dataverse-python-quickstart · dataverse-python-quickstart verified and signed
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
ingest_codebase · mcpexample found in code, not yet checked
Add a new codebase to the vector database Args: dir: Local path to codebase or github link to public repo
docker-project-foundations · docker-project-foundations verified and signed
Use this skill when setting up, initializing, or Dockerizing a project, even if the user doesn't explicitly mention Docker but describes a need for containerized local development, adding a database or cache dependency, or running services without host-level installs. Covers Dockerfile, compose.yaml
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.