[docs]: Revamp embedchain docs (#799)
This commit is contained in:
8
configs/anthropic.yaml
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8
configs/anthropic.yaml
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llm:
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provider: anthropic
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model: 'claude-instant-1'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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26
configs/chroma.yaml
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26
configs/chroma.yaml
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app:
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config:
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id: 'my-app'
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collection_name: 'my-app'
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llm:
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provider: openai
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model: 'gpt-3.5-turbo'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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vectordb:
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provider: chroma
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config:
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collection_name: 'my-app'
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dir: db
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allow_reset: true
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embedder:
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provider: openai
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config:
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model: 'text-embedding-ada-002'
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deployment_name: null
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7
configs/cohere.yaml
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7
configs/cohere.yaml
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llm:
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provider: cohere
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model: large
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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35
configs/full-stack.yaml
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35
configs/full-stack.yaml
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app:
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config:
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id: 'full-stack-app'
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llm:
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provider: openai
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model: 'gpt-3.5-turbo'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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template: |
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Use the following pieces of context to answer the query at the end.
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If you don't know the answer, just say that you don't know, don't try to make up an answer.
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$context
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Query: $query
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Helpful Answer:
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system_prompt: |
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Act as William Shakespeare. Answer the following questions in the style of William Shakespeare.
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vectordb:
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provider: chroma
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config:
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collection_name: 'full-stack-app'
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dir: db
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allow_reset: true
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embedder:
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provider: openai
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config:
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model: 'text-embedding-ada-002'
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13
configs/gpt4all.yaml
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13
configs/gpt4all.yaml
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llm:
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provider: gpt4all
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model: 'orca-mini-3b.ggmlv3.q4_0.bin'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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embedder:
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provider: gpt4all
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config:
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model: 'all-MiniLM-L6-v2'
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8
configs/huggingface.yaml
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8
configs/huggingface.yaml
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llm:
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provider: huggingface
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model: 'google/flan-t5-xxl'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 0.5
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stream: false
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7
configs/jina.yaml
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7
configs/jina.yaml
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llm:
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provider: jina
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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8
configs/llama2.yaml
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8
configs/llama2.yaml
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llm:
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provider: llama2
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model: 'a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 0.5
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stream: false
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33
configs/opensearch.yaml
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33
configs/opensearch.yaml
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app:
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config:
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id: 'my-app'
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log_level: 'WARN'
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collect_metrics: true
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collection_name: 'my-app'
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llm:
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provider: openai
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model: 'gpt-3.5-turbo'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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vectordb:
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provider: opensearch
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config:
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opensearch_url: 'https://localhost:9200'
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http_auth:
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- admin
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- admin
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vector_dimension: 1536
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collection_name: 'my-app'
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use_ssl: false
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verify_certs: false
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embedder:
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provider: openai
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config:
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model: 'text-embedding-ada-002'
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deployment_name: null
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27
configs/opensource.yaml
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27
configs/opensource.yaml
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app:
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config:
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id: 'open-source-app'
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collection_name: 'open-source-app'
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collect_metrics: false
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llm:
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provider: gpt4all
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model: 'orca-mini-3b.ggmlv3.q4_0.bin'
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config:
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temperature: 0.5
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max_tokens: 1000
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top_p: 1
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stream: false
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vectordb:
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provider: chroma
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config:
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collection_name: 'open-source-app'
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dir: db
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allow_reset: true
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embedder:
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provider: gpt4all
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config:
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model: 'all-MiniLM-L6-v2'
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deployment_name: null
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6
configs/vertexai.yaml
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6
configs/vertexai.yaml
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@@ -0,0 +1,6 @@
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llm:
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provider: vertexai
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model: 'chat-bison'
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config:
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temperature: 0.5
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top_p: 0.5
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