Show HN: Trieve CLI – Terminal-Based LLM Agent Loop with Search Tool for PDFs https://ift.tt/vD2dEMm

Show HN: Trieve CLI – Terminal-Based LLM Agent Loop with Search Tool for PDFs Hi HN, I built a CLI for uploading documents and querying them with an LLM agent that uses search tools rather than stuffing everything into the context window. I recorded a demo using the CrossFit 2025 rulebook that shows how this approach compares to traditional RAG and direct context injection[1]. The core insight is that LLMs running in loops with tool access are unreasonably effective at this kind of knowledge retrieval task[2]. Instead of hoping the right chunks make it into your context, the agent can iteratively search, refine queries, and reason about what it finds. The CLI handles the full workflow: ```bash trieve upload ./document.pdf trieve ask "What are the key findings?" ``` You can customize the RAG behavior, check upload status, and the responses stream back with expandable source references. I really enjoy having this workflow available in the terminal and I'm curious if others find this paradigm as compelling as I do. Considering adding more commands and customization options if there's interest. The tool is free for up to 1k document chunks. Source code is on GitHub[3] and available via npm[4]. Would love any feedback on the approach or CLI design! [1]: https://www.youtube.com/watch?v=SAV-esDsRUk [2]: https://ift.tt/9RemOy1 [3]: https://ift.tt/o2sTdIa... [4]: https://ift.tt/GKm31pE https://ift.tt/DS8ju9A June 18, 2025 at 03:52AM