AI & Agents
RAG Search
Ingest documents, embed, and answer with citations — search that explains itself.
Retrieval-augmented search as a product feature: an ingestion pipeline for files and URLs, chunking and embeddings into pgvector, hybrid keyword + vector retrieval, and streaming answers with inline citations users can check.
What's inside
- File and URL ingestion pipeline
- Chunking + embedding jobs
- Hybrid keyword + vector retrieval
- Streaming answers with inline citations
- Feedback loop on answer quality
- Eval set scaffold
Quickstart
$ git clone git@github.com:devai-io/rag-search.git my-search$ cd my-search && bun install$ cp .env.example .env # add ANTHROPIC_API_KEY$ bun dev
from production
Grown out of a production travel product's knowledge-search experiments.