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Add end-to-end document processing pipeline: - PDF decoder service (pdfjs-dist) extracts text per page from librarian docs - Ollama native LLM service for local model inference - FalkorDB triples store FlowProcessor consumer - Qdrant graph embeddings store FlowProcessor consumer - Fix spec name collisions in chunker/extractor (input→chunk-input, etc.) - Gateway /load endpoint to trigger document processing - Align flow manager blueprint and seed config with full pipeline topics - Add runner scripts and test coverage for document load Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
16 lines
428 B
TypeScript
16 lines
428 B
TypeScript
/**
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* Start the Ollama text-completion service.
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*
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* Usage: pnpm tsx scripts/run-ollama.ts
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*
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* Env:
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* NATS_URL (default: nats://localhost:4222)
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* OLLAMA_URL (default: http://localhost:11434)
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* OLLAMA_MODEL (default: qwen2.5:0.5b)
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*/
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import { run } from "../packages/flow/src/model/text-completion/ollama.js";
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run().catch((err) => {
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console.error("Ollama LLM service failed:", err);
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process.exit(1);
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});
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