docs: change quickstart to ollama #249
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Askir
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Nov 23, 2024
docs/vectorizer-quick-start.md
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| dockerfile: Dockerfile | ||
| context: ../pgai/projects/extension | ||
| target: pgai-test-db |
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images need to exchanged for the real ones, once they work. This is how I tested it though.
JamesGuthrie
requested changes
Nov 27, 2024
docs/vectorizer-quick-start.md
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| Before we start we need to tell ollama to download an embedding model so we can use it with pgai. For this example we will use the "nomic-embed-text" model. | ||
| To download it into the container simply run: | ||
| ``` | ||
| docker-compose exec ollama ollama pull nomic-embed-text |
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| docker-compose exec ollama ollama pull nomic-embed-text | |
| docker compose exec ollama ollama pull nomic-embed-text |
docs/vectorizer-quick-start.md
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| @@ -123,20 +121,20 @@ To create and run a vectorizer, then query the auto-generated embeddings created | |||
| ```sql | |||
| SELECT | |||
| chunk, | |||
| embedding <=> ai.openai_embed('text-embedding-3-small', 'good food', dimensions=>768) as distance | |||
| embedding <=> ai.ollama('nomic-embed-text', 'good food', host => 'http://ollama:11434') as distance, | |||
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| embedding <=> ai.ollama('nomic-embed-text', 'good food', host => 'http://ollama:11434') as distance, | |
| embedding <=> ai.ollama_embed('nomic-embed-text', 'good food', host => 'http://ollama:11434') as distance |
| ```shell | ||
| docker compose up -d db | ||
| docker compose up -d |
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Note: this still won't work, because the vectorizer worker isn't robust to failures in connecting to the DB etc. I've opened a PR which fixes this: #263
…quickstart-guide-to-use-ollama
JamesGuthrie
approved these changes
Dec 2, 2024
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The docker images don't support this yet so probably best to merge after release.