Vectorize
Build RAG pipelines that are optimized for your data.
Vectorize launched on October 28, 2024 with 246 votes, #167 of 5,185 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Vectorize is a data platform for retrieval augmented generation (RAG). It combines RAG evaluation to identify the best way to vectorize your data with a cloud-scale RAG pipeline engine. Vectorize populates your vector database and keeps your vector data fresh.
Open source agent memory. Your agents learn from mistakes and get better over time. 94.6% on LongMemEval. MIT licensed.
With Hindsight, your agents remember your users and get better at their jobs over time. Open source, MIT licensed. Share what you're building, ask questions, and get help directly from the team. Every other memory system stores facts and retrieves them. That works until your agent encounters the same problem twice and makes the same mistake both times. LongMemEval scores across four memory systems. Peer-reviewed benchmark, independently reproduced. Tell Claude Code or Cursor to add Hindsight. It reads the docs, writes the config, and sets up its own memory. One command. No boilerplate. Works with any MCP-capable agent. Your agent gets remember , recall , and reflect tools automatically.…from vectorize.io
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Vectorize 2.02025 · platform.vectorize.io · ▲335Complete RAG agents (chatbot, MCP) with little or no code
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