mirror of
https://github.com/saymrwulf/KnowledgeRefinery.git
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38a99476d6
macOS app for corpus ingestion, semantic search, and concept universe visualization powered by local LLMs via LM Studio. Architecture: - Go daemon (17MB single binary, zero dependencies) - chi router, pure-Go SQLite, tiktoken tokenizer - 6-stage pipeline: scan → extract → chunk → embed → annotate → conceptualize - Brute-force cosine vector search in memory - 89 tests across 8 packages - SwiftUI app (macOS 15+) - Multi-workspace management with auto-start daemons - Live pipeline progress, search, concept browser - WebGPU 3D universe renderer with Canvas2D fallback - Custom crystal app icon
30 lines
732 B
Go
30 lines
732 B
Go
package server
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import (
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"net/http"
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"github.com/go-chi/chi/v5"
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"github.com/go-chi/chi/v5/middleware"
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)
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// CORSMiddleware allows all origins (local-only daemon).
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func CORSMiddleware(next http.Handler) http.Handler {
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return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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w.Header().Set("Access-Control-Allow-Origin", "*")
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w.Header().Set("Access-Control-Allow-Methods", "*")
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w.Header().Set("Access-Control-Allow-Headers", "*")
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if r.Method == "OPTIONS" {
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w.WriteHeader(http.StatusOK)
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return
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}
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next.ServeHTTP(w, r)
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})
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}
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// NewRouter creates a chi router with standard middleware.
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func NewRouter() *chi.Mux {
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r := chi.NewRouter()
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r.Use(middleware.Recoverer)
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r.Use(CORSMiddleware)
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return r
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}
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