Recommender Systems with Postgres pgvector in 2026: A Complete TypeScript Pipeline
embeddings open-source rag vector-db
| Source: Dev.to | Original article
Developers can now build a full RAG pipeline with TypeScript and Postgres pgvector.
RAG with Postgres pgvector has taken a significant leap forward in 2026, with the release of a full TypeScript pipeline. As we reported on June 7, the concept of agentic PCs and RAG pipelines has been gaining traction, with discussions around Computex 2026 and the potential for an agentic PC era. The latest development allows for a complete RAG pipeline, including ingest, embedding, storage, search, and answer generation, all within a TypeScript framework.
This matters because it simplifies the process of building and deploying RAG systems, making it more accessible to developers. With the use of Postgres pgvector, developers can leverage the power of vector search and RAG without needing dedicated vector databases like Pinecone or Weaviate. The pipeline is also production-grade for up to 1 million documents, making it a viable option for many use cases.
What to watch next is how this development will impact the adoption of RAG technology in various industries. As the barriers to entry are lowered, we can expect to see more innovative applications of RAG in areas like natural language processing and information retrieval. Additionally, the choice between self-hosted RAG solutions like Postgres pgvector and dedicated vector databases will become increasingly important as the technology continues to evolve.
Sources
Back to AIPULSEN