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RAGPipe (OpenSource)

RAG in 3 lines. Zero config. Any data source.

RAGPipe does the boring part of RAG: extract → chunk → embed → store → query. 3 functions. 1 package. Works with Ollama, OpenAI, Qdrant, Pinecone, or a JSON file. CLI, YAML pipelines, git hooks, and systemd baked in.

About RAGPipe (OpenSource) on Product Hunt

RAG in 3 lines. Zero config. Any data source.

RAGPipe (OpenSource) was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #355 on the daily leaderboard. RAGPipe does the boring part of RAG: extract → chunk → embed → store → query. 3 functions. 1 package. Works with Ollama, OpenAI, Qdrant, Pinecone, or a JSON file. CLI, YAML pipelines, git hooks, and systemd baked in.

Who hunted RAGPipe (OpenSource)?

RAGPipe (OpenSource) was hunted by Abhay Nayak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of RAGPipe (OpenSource) including community comment highlights and product details, visit the product overview.