{"id":95291,"title":"Captain - The Reliable Alternative to RAG","tagline":"Search files with much higher accuracy than RAG (Avg improves 78% → 95%)","body":"**TL; DR**: Captain delivers **the most accurate** general-purpose **knowledge search** engine **ever built.** \n\nIf you need to search through large text or multimodal files, and:\n\n* Don’t have time for **a tedious RAG sprint** -or-\n* Your current search pipeline lacks accuracy\n\nWe should talk. → [runcaptain.com/sales](https://runcaptain.com/sales?utm_source=ycombinator\u0026utm_medium=launchyc\u0026utm_campaign=launchyc\u0026utm_content=weshouldtalk1) or [founders@runcaptain.com](mailto:founders@runcaptain.com)\n\nhttps://www.youtube.com/shorts/RxMPHqou94o\n\nIn a world where **90% of enterprise knowledge** cannot be stored in traditional databases, this ‘unstructured data’ is an **untapped goldmine** for decision-making. \n\nThe issue is that current RAG solutions have poor retrieval quality overall and are only performant on pre-optimized question types. \n\n![uploaded image](/media/?type=post\u0026id=95291\u0026key=user_uploads/2044865/425e4da0-2c47-43ea-a2c5-5dc32b2168fd)\n\n**Captain** unlocks **better responses** thanks to an effectively **Infinite Context window**. We distribute it across many LLMs in parallel + some embeddings sprinkled in, and then ‘Map-Reducing’ responses down to a single output.\n\n![uploaded image](/media/?type=post\u0026id=95291\u0026key=user_uploads/2044865/4be36851-322b-4836-be35-8e447cea51cd)\n\nWithout context limits, we have great freedom to optimize our retrieval engine for maximal accuracy. We can now play with a truly dynamic top-k or just run the LLM exhaustively (if a full knowledge audit is needed).\n\n![uploaded image](/media/?type=post\u0026id=95291\u0026key=user_uploads/2044865/e373def8-4aec-4add-b2a6-7d5fd9a02cb3)\n\n**We’re two lifelong builders** obsessed with data! \n\n* Lewis (right) solved hallucinations for code generation through his previous startup. \n* Edgar (left) researched NLP+AI and has built production RAG pipelines for the past 3 years.\n\nWe’ve seen the pains and limits of these systems from the start, and **the industry is primed for a more accurate alternative.** \n\nThis past summer, we met with every engineer we could at **Snowflake** and **Databricks**, and we kept hearing the same thing again and again: \n\n\u003e There’s **no good** scalable **unstructured** data **search**.\n\nUntil **today**.\n\n**Captain abstracts the engineering of retrieval entirely.** Connecting files is all that’s needed, and we’ll beat your RAG's accuracy. Guaranteed. \n\n**Our Ask**\n\nIf you know a **CTO** or **Head of AI** at a mid-market or enterprise **AI-native** (or are building one yourself), we would love an introduction!\n\nCheck us out at [RunCaptain.com](https://runcaptain.com?utm_source=ycombinator\u0026utm_medium=launchyc\u0026utm_campaign=launchyc\u0026utm_content=website)\\\nor reach us directly through [founders@runcaptain.com](mailto:founders@runcaptain.com)\\\n\\\nHappy Shipping! 🚢","slug":"Omx-captain-the-reliable-alternative-to-rag","created_at":"2025-11-07T19:59:17.455Z","updated_at":"2026-05-25T02:10:22.551Z","total_vote_count":115,"url":"https://www.ycombinator.com/launches/Omx-captain-the-reliable-alternative-to-rag","share_image_url":"https://www.ycombinator.com/media/?type=post\u0026id=95291\u0026key=user_uploads/2044865/425e4da0-2c47-43ea-a2c5-5dc32b2168fd","company":{"id":30913,"name":"Captain","slug":"captain","url":"https://runcaptain.com","logo":"https://bookface-images.s3.amazonaws.com/small_logos/0c5e5da360891b80b4a1d6d511de963d613bbf08.png","batch":"Winter 2026","industry":"B2B","tags":["B2B","API","Data Engineering","Infrastructure"],"search_path":"https://bookface.ycombinator.com/company/30913"}}