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Stacks / AI chat

Medium

Qdrant / pgvector

Vectors you host. Qdrant is Apache-2.0; pgvector lives in Postgres — Pinecone without the serverless meter.

The problem

Pinecone is a hosted vector index. You wanted embeddings next to the app. Qdrant is Apache-2.0 and self-hostable. Weaviate is BSD-3-Clause. pgvector is a Postgres extension if you already have a database. Team chat over models stays on /stacks/open-webui-litellm.

Replaces

Pinecone

Replace Pinecone

Estimated SaaS saved

$2,400

per year, small team, before lock-in

Start on Railway

Open WebUI + LiteLLM for the chat UI on top

Sponsor this stack Tip jar

Placeholder: Qdrant + a volume, or Postgres with pgvector. RAG chat can sit on /stacks/open-webui-litellm.

The stack

Cost table

You stop payingTypical / yearSelf-host instead
Pinecone paid plan (small team)$2,400Qdrant or pgvector

Agent setup prompt

Replace Pinecone with Qdrant (preferred) or pgvector on Postgres.

- Qdrant: persist storage on a volume. pgvector: one extension on the Postgres you already run. Weaviate if you want that API.
- Re-embed the corpus. Point the existing client at the new URL. Confirm one search.
- Chat UI + keys: /stacks/open-webui-litellm. Write AGENT_PROMPT.md.

Also as markdown: /stacks/qdrant-vectors.md

FAQ

Qdrant or pgvector?
pgvector if Postgres is already the source of truth and the corpus is small. Qdrant if vectors are the product. Weaviate if you want that stack.
Where does the chat go?
This page is the index. Open WebUI + LiteLLM is the team chat on top — a published Railway template at /stacks/open-webui-litellm.