mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 16:36:21 +02:00
6aa212061d
* Update schema for doc embeddings * Rename embeddings-vectorize to graph-embeddings * Added document-embeddings processor (broken, needs fixing) * Added scripts * Fixed DE queue schema * Add missing DE process * Fix doc RAG processing, put graph-rag and doc-rag in appropriate component files.
73 lines
2 KiB
Jsonnet
73 lines
2 KiB
Jsonnet
local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompts/mixtral.jsonnet";
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{
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"document-rag" +: {
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create:: function(engine)
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local container =
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engine.container("document-rag")
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.with_image(images.trustgraph)
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.with_command([
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"document-rag",
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"-p",
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url.pulsar,
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"--prompt-request-queue",
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"non-persistent://tg/request/prompt-rag",
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"--prompt-response-queue",
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"non-persistent://tg/response/prompt-rag",
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])
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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local containerSet = engine.containers(
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"document-rag", [ container ]
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);
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local service =
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engine.internalService(containerSet)
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.with_port(8000, 8000, "metrics");
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engine.resources([
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containerSet,
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service,
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])
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},
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"document-embeddings" +: {
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create:: function(engine)
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local container =
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engine.container("document-embeddings")
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.with_image(images.trustgraph)
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.with_command([
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"document-embeddings",
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"-p",
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url.pulsar,
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])
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.with_limits("1.0", "512M")
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.with_reservations("0.5", "512M");
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local containerSet = engine.containers(
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"document-embeddings", [ container ]
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);
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local service =
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engine.internalService(containerSet)
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.with_port(8000, 8000, "metrics");
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engine.resources([
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containerSet,
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service,
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])
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},
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}
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