LibreFang 2026.4.27 Released LibreFang v2026.4.27 ships the changes below. See the full changelog for the complete list. TUI setup wizard now offers microsoft, zai, zai_coding, volcengine, volcengine_coding, byteplus, byteplus_coding alongside the existing first-run options. The wizard's PROVIDERS list had drifted from PROVIDER_REGISTRY and silently hid these from new installs; a unit test now p
Fixed-length chunking requires no external services, yet semantic chunking absolutely needs an Embedding API — why? The core idea of semantic chunking is to split text at semantic boundaries. Determining whether "two pieces of text belong to the same topic" requires converting text into vectors and computing similarity — that's exactly what the Embedding API does. Dimension Fixed-Length / Recur
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Why Does Switching Embedding Models Make Such a Huge Difference? In the first four articles, we built the RAG pipeline, tuned parameters, and mastered chunking strategies. But there's one question we haven't dived into: After your documents are chunked, how do they become vectors? This process is called Embedding. It transforms human-readable text into machine-computable vectors. The choice of E