mirror of
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feat(llm): Support for Google Gemini LLMs and Embeddings (#1965)
* Support for Google Gemini LLMs and Embeddings Initial support for Gemini, enables usage of Google LLMs and embedding models (see settings-gemini.yaml) Install via poetry install --extras "llms-gemini embeddings-gemini" Notes: * had to bump llama-index-core to later version that supports Gemini * poetry --no-update did not work: Gemini/llama_index seem to require more (transient) updates to make it work... * fix: crash when gemini is not selected * docs: add gemini llm --------- Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
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@ -199,3 +199,36 @@ Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:80
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For a fully private setup on Intel GPUs (such as a local PC with an iGPU, or discrete GPUs like Arc, Flex, and Max), you can use [IPEX-LLM](https://github.com/intel-analytics/ipex-llm).
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To deploy Ollama and pull models using IPEX-LLM, please refer to [this guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html). Then, follow the same steps outlined in the [Using Ollama](#using-ollama) section to create a `settings-ollama.yaml` profile and run the private-GPT server.
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### Using Gemini
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If you cannot run a local model (because you don't have a GPU, for example) or for testing purposes, you may
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decide to run PrivateGPT using Gemini as the LLM and Embeddings model. In addition, you will benefit from
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multimodal inputs, such as text and images, in a very large contextual window.
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In order to do so, create a profile `settings-gemini.yaml` with the following contents:
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```yaml
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llm:
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mode: gemini
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embedding:
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mode: gemini
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gemini:
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api_key: <your_gemini_api_key> # You could skip this configuration and use the GEMINI_API_KEY env var instead
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model: <gemini_model_to_use> # Optional model to use. Default is models/gemini-pro"
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embedding_model: <gemini_embeddings_to_use> # Optional model to use. Default is "models/embedding-001"
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```
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And run PrivateGPT loading that profile you just created:
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`PGPT_PROFILES=gemini make run`
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or
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`PGPT_PROFILES=gemini poetry run python -m private_gpt`
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When the server is started it will print a log *Application startup complete*.
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Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:8001/docs (API section) to try the API.
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@ -1363,6 +1363,66 @@ smb = ["smbprotocol"]
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ssh = ["paramiko"]
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tqdm = ["tqdm"]
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[[package]]
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name = "google-ai-generativelanguage"
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version = "0.6.4"
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description = "Google Ai Generativelanguage API client library"
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optional = true
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python-versions = ">=3.7"
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files = [
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{file = "google-ai-generativelanguage-0.6.4.tar.gz", hash = "sha256:1750848c12af96cb24ae1c3dd05e4bfe24867dc4577009ed03e1042d8421e874"},
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{file = "google_ai_generativelanguage-0.6.4-py3-none-any.whl", hash = "sha256:730e471aa549797118fb1c88421ba1957741433ada575cf5dd08d3aebf903ab1"},
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]
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[package.dependencies]
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google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
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google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
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proto-plus = ">=1.22.3,<2.0.0dev"
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protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
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[[package]]
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name = "google-api-core"
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version = "2.19.1"
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description = "Google API client core library"
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optional = true
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python-versions = ">=3.7"
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files = [
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{file = "google-api-core-2.19.1.tar.gz", hash = "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd"},
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{file = "google_api_core-2.19.1-py3-none-any.whl", hash = "sha256:f12a9b8309b5e21d92483bbd47ce2c445861ec7d269ef6784ecc0ea8c1fa6125"},
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]
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[package.dependencies]
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google-auth = ">=2.14.1,<3.0.dev0"
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googleapis-common-protos = ">=1.56.2,<2.0.dev0"
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grpcio = {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
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grpcio-status = {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
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proto-plus = ">=1.22.3,<2.0.0dev"
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protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
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requests = ">=2.18.0,<3.0.0.dev0"
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[package.extras]
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grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
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grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
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grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
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[[package]]
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name = "google-api-python-client"
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version = "2.136.0"
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description = "Google API Client Library for Python"
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optional = true
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python-versions = ">=3.7"
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files = [
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{file = "google-api-python-client-2.136.0.tar.gz", hash = "sha256:161c722c8864e7ed39393e2b7eea76ef4e1c933a6a59f9d7c70409b6635f225d"},
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{file = "google_api_python_client-2.136.0-py2.py3-none-any.whl", hash = "sha256:5a554c8b5edf0a609b905d89d7ced82e8f6ac31da1e4d8d5684ef63dbc0e49f5"},
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]
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[package.dependencies]
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google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0.dev0"
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google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0.dev0"
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google-auth-httplib2 = ">=0.2.0,<1.0.0"
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httplib2 = ">=0.19.0,<1.dev0"
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uritemplate = ">=3.0.1,<5"
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[[package]]
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name = "google-auth"
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version = "2.25.2"
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@ -1386,6 +1446,44 @@ pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
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reauth = ["pyu2f (>=0.1.5)"]
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requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
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[[package]]
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name = "google-auth-httplib2"
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version = "0.2.0"
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description = "Google Authentication Library: httplib2 transport"
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optional = true
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python-versions = "*"
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files = [
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{file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
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{file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
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]
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[package.dependencies]
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google-auth = "*"
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httplib2 = ">=0.19.0"
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[[package]]
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name = "google-generativeai"
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version = "0.5.4"
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description = "Google Generative AI High level API client library and tools."
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optional = true
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python-versions = ">=3.9"
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files = [
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{file = "google_generativeai-0.5.4-py3-none-any.whl", hash = "sha256:036d63ee35e7c8aedceda4f81c390a5102808af09ff3a6e57e27ed0be0708f3c"},
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]
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[package.dependencies]
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google-ai-generativelanguage = "0.6.4"
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google-api-core = "*"
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google-api-python-client = "*"
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google-auth = ">=2.15.0"
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protobuf = "*"
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pydantic = "*"
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tqdm = "*"
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typing-extensions = "*"
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[package.extras]
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dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "pyyaml"]
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[[package]]
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name = "googleapis-common-protos"
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version = "1.62.0"
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@ -1602,6 +1700,22 @@ files = [
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[package.extras]
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protobuf = ["grpcio-tools (>=1.60.0)"]
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[[package]]
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name = "grpcio-status"
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version = "1.60.0"
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description = "Status proto mapping for gRPC"
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optional = true
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python-versions = ">=3.6"
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files = [
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{file = "grpcio-status-1.60.0.tar.gz", hash = "sha256:f10e0b6db3adc0fdc244b71962814ee982996ef06186446b5695b9fa635aa1ab"},
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{file = "grpcio_status-1.60.0-py3-none-any.whl", hash = "sha256:7d383fa36e59c1e61d380d91350badd4d12ac56e4de2c2b831b050362c3c572e"},
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]
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[package.dependencies]
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googleapis-common-protos = ">=1.5.5"
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grpcio = ">=1.60.0"
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protobuf = ">=4.21.6"
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[[package]]
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name = "grpcio-tools"
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version = "1.60.0"
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@ -1728,6 +1842,20 @@ http2 = ["h2 (>=3,<5)"]
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socks = ["socksio (==1.*)"]
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trio = ["trio (>=0.22.0,<0.23.0)"]
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[[package]]
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name = "httplib2"
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version = "0.22.0"
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description = "A comprehensive HTTP client library."
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optional = true
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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files = [
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{file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
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{file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
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]
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[package.dependencies]
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pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0.2,<3.0.3 || >3.0.3,<4", markers = "python_version > \"3.0\""}
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[[package]]
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name = "httptools"
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version = "0.6.1"
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@ -2273,6 +2401,21 @@ llama-index-core = ">=0.10.11.post1,<0.11.0"
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llama-index-embeddings-openai = ">=0.1.3,<0.2.0"
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llama-index-llms-azure-openai = ">=0.1.3,<0.2.0"
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[[package]]
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name = "llama-index-embeddings-gemini"
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version = "0.1.8"
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description = "llama-index embeddings gemini integration"
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optional = true
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python-versions = "<4.0,>=3.9"
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files = [
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{file = "llama_index_embeddings_gemini-0.1.8-py3-none-any.whl", hash = "sha256:b0afd99706cec2cf2f0c5e1f70675170777e82e96a7459f231da07c79408b469"},
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{file = "llama_index_embeddings_gemini-0.1.8.tar.gz", hash = "sha256:ad02b23ea667c95607da1e534d5579de461895d1944560115a3601ac16f87793"},
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]
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[package.dependencies]
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google-generativeai = ">=0.5.2,<0.6.0"
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llama-index-core = ">=0.10.11.post1,<0.11.0"
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[[package]]
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name = "llama-index-embeddings-huggingface"
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version = "0.2.2"
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@ -2334,6 +2477,21 @@ httpx = "*"
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llama-index-core = ">=0.10.11.post1,<0.11.0"
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llama-index-llms-openai = ">=0.1.1,<0.2.0"
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[[package]]
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name = "llama-index-llms-gemini"
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version = "0.1.11"
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description = "llama-index llms gemini integration"
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optional = true
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python-versions = "<4.0,>=3.9"
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files = [
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{file = "llama_index_llms_gemini-0.1.11-py3-none-any.whl", hash = "sha256:0031853d938875ba2975c2c92c40d6ac18b6dde1f0103cdee10bfc87d128fb34"},
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]
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[package.dependencies]
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google-generativeai = ">=0.5.2,<0.6.0"
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llama-index-core = ">=0.10.11.post1,<0.11.0"
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pillow = ">=10.2.0,<11.0.0"
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[[package]]
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name = "llama-index-llms-llama-cpp"
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version = "0.1.4"
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@ -3665,70 +3823,100 @@ numpy = "*"
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[[package]]
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name = "pillow"
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version = "10.1.0"
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version = "10.4.0"
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description = "Python Imaging Library (Fork)"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "Pillow-10.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1ab05f3db77e98f93964697c8efc49c7954b08dd61cff526b7f2531a22410106"},
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{file = "Pillow-10.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6932a7652464746fcb484f7fc3618e6503d2066d853f68a4bd97193a3996e273"},
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{file = "Pillow-10.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f63b5a68daedc54c7c3464508d8c12075e56dcfbd42f8c1bf40169061ae666"},
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{file = "Pillow-10.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0949b55eb607898e28eaccb525ab104b2d86542a85c74baf3a6dc24002edec2"},
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{file = "Pillow-10.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ae88931f93214777c7a3aa0a8f92a683f83ecde27f65a45f95f22d289a69e593"},
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{file = "Pillow-10.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b0eb01ca85b2361b09480784a7931fc648ed8b7836f01fb9241141b968feb1db"},
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{file = "Pillow-10.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d27b5997bdd2eb9fb199982bb7eb6164db0426904020dc38c10203187ae2ff2f"},
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{file = "Pillow-10.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7df5608bc38bd37ef585ae9c38c9cd46d7c81498f086915b0f97255ea60c2818"},
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{file = "Pillow-10.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:41f67248d92a5e0a2076d3517d8d4b1e41a97e2df10eb8f93106c89107f38b57"},
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{file = "Pillow-10.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:1fb29c07478e6c06a46b867e43b0bcdb241b44cc52be9bc25ce5944eed4648e7"},
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{file = "Pillow-10.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2cdc65a46e74514ce742c2013cd4a2d12e8553e3a2563c64879f7c7e4d28bce7"},
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{file = "Pillow-10.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50d08cd0a2ecd2a8657bd3d82c71efd5a58edb04d9308185d66c3a5a5bed9610"},
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{file = "Pillow-10.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:062a1610e3bc258bff2328ec43f34244fcec972ee0717200cb1425214fe5b839"},
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{file = "Pillow-10.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:61f1a9d247317fa08a308daaa8ee7b3f760ab1809ca2da14ecc88ae4257d6172"},
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{file = "Pillow-10.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a646e48de237d860c36e0db37ecaecaa3619e6f3e9d5319e527ccbc8151df061"},
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{file = "Pillow-10.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:47e5bf85b80abc03be7455c95b6d6e4896a62f6541c1f2ce77a7d2bb832af262"},
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{file = "Pillow-10.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a92386125e9ee90381c3369f57a2a50fa9e6aa8b1cf1d9c4b200d41a7dd8e992"},
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{file = "Pillow-10.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0f7c276c05a9767e877a0b4c5050c8bee6a6d960d7f0c11ebda6b99746068c2a"},
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{file = "Pillow-10.1.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:a89b8312d51715b510a4fe9fc13686283f376cfd5abca8cd1c65e4c76e21081b"},
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{file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"},
|
||||
{file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
|
||||
{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
|
||||
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
|
||||
fpx = ["olefile"]
|
||||
mic = ["olefile"]
|
||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||
typing = ["typing-extensions"]
|
||||
xmp = ["defusedxml"]
|
||||
|
||||
[[package]]
|
||||
name = "platformdirs"
|
||||
@ -3820,6 +4008,23 @@ nodeenv = ">=0.11.1"
|
||||
pyyaml = ">=5.1"
|
||||
virtualenv = ">=20.10.0"
|
||||
|
||||
[[package]]
|
||||
name = "proto-plus"
|
||||
version = "1.24.0"
|
||||
description = "Beautiful, Pythonic protocol buffers."
|
||||
optional = true
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "proto-plus-1.24.0.tar.gz", hash = "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445"},
|
||||
{file = "proto_plus-1.24.0-py3-none-any.whl", hash = "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
protobuf = ">=3.19.0,<6.0.0dev"
|
||||
|
||||
[package.extras]
|
||||
testing = ["google-api-core (>=1.31.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
version = "4.25.1"
|
||||
@ -5797,6 +6002,17 @@ files = [
|
||||
{file = "ujson-5.9.0.tar.gz", hash = "sha256:89cc92e73d5501b8a7f48575eeb14ad27156ad092c2e9fc7e3cf949f07e75532"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "uritemplate"
|
||||
version = "4.1.1"
|
||||
description = "Implementation of RFC 6570 URI Templates"
|
||||
optional = true
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
|
||||
{file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.2"
|
||||
@ -6328,11 +6544,13 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
||||
|
||||
[extras]
|
||||
embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
|
||||
embeddings-gemini = ["llama-index-embeddings-gemini"]
|
||||
embeddings-huggingface = ["llama-index-embeddings-huggingface"]
|
||||
embeddings-ollama = ["llama-index-embeddings-ollama"]
|
||||
embeddings-openai = ["llama-index-embeddings-openai"]
|
||||
embeddings-sagemaker = ["boto3"]
|
||||
llms-azopenai = ["llama-index-llms-azure-openai"]
|
||||
llms-gemini = ["google-generativeai", "llama-index-llms-gemini"]
|
||||
llms-llama-cpp = ["llama-index-llms-llama-cpp"]
|
||||
llms-ollama = ["llama-index-llms-ollama"]
|
||||
llms-openai = ["llama-index-llms-openai"]
|
||||
@ -6348,4 +6566,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.11,<3.12"
|
||||
content-hash = "955caf907acef68af94fd63f287e2ba257f8721dcc8d7f371ab10f54d4980bd3"
|
||||
content-hash = "f2b0a0235b28c2a210e2d752e43ad6897e21863c3129f5ec629e93b4b32af32b"
|
||||
|
@ -99,6 +99,20 @@ class EmbeddingComponent:
|
||||
azure_endpoint=azopenai_settings.azure_endpoint,
|
||||
api_version=azopenai_settings.api_version,
|
||||
)
|
||||
case "gemini":
|
||||
try:
|
||||
from llama_index.embeddings.gemini import ( # type: ignore
|
||||
GeminiEmbedding,
|
||||
)
|
||||
except ImportError as e:
|
||||
raise ImportError(
|
||||
"Gemini dependencies not found, install with `poetry install --extras embeddings-gemini`"
|
||||
) from e
|
||||
|
||||
self.embedding_model = GeminiEmbedding(
|
||||
api_key=settings.gemini.api_key,
|
||||
model_name=settings.gemini.embedding_model,
|
||||
)
|
||||
case "mock":
|
||||
# Not a random number, is the dimensionality used by
|
||||
# the default embedding model
|
||||
|
@ -190,5 +190,18 @@ class LLMComponent:
|
||||
azure_endpoint=azopenai_settings.azure_endpoint,
|
||||
api_version=azopenai_settings.api_version,
|
||||
)
|
||||
case "gemini":
|
||||
try:
|
||||
from llama_index.llms.gemini import ( # type: ignore
|
||||
Gemini,
|
||||
)
|
||||
except ImportError as e:
|
||||
raise ImportError(
|
||||
"Google Gemini dependencies not found, install with `poetry install --extras llms-gemini`"
|
||||
) from e
|
||||
gemini_settings = settings.gemini
|
||||
self.llm = Gemini(
|
||||
model_name=gemini_settings.model, api_key=gemini_settings.api_key
|
||||
)
|
||||
case "mock":
|
||||
self.llm = MockLLM()
|
||||
|
@ -82,7 +82,14 @@ class DataSettings(BaseModel):
|
||||
|
||||
class LLMSettings(BaseModel):
|
||||
mode: Literal[
|
||||
"llamacpp", "openai", "openailike", "azopenai", "sagemaker", "mock", "ollama"
|
||||
"llamacpp",
|
||||
"openai",
|
||||
"openailike",
|
||||
"azopenai",
|
||||
"sagemaker",
|
||||
"mock",
|
||||
"ollama",
|
||||
"gemini",
|
||||
]
|
||||
max_new_tokens: int = Field(
|
||||
256,
|
||||
@ -157,7 +164,9 @@ class HuggingFaceSettings(BaseModel):
|
||||
|
||||
|
||||
class EmbeddingSettings(BaseModel):
|
||||
mode: Literal["huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock"]
|
||||
mode: Literal[
|
||||
"huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini"
|
||||
]
|
||||
ingest_mode: Literal["simple", "batch", "parallel", "pipeline"] = Field(
|
||||
"simple",
|
||||
description=(
|
||||
@ -220,6 +229,18 @@ class OpenAISettings(BaseModel):
|
||||
)
|
||||
|
||||
|
||||
class GeminiSettings(BaseModel):
|
||||
api_key: str
|
||||
model: str = Field(
|
||||
"models/gemini-pro",
|
||||
description="Google Model to use. Example: 'models/gemini-pro'.",
|
||||
)
|
||||
embedding_model: str = Field(
|
||||
"models/embedding-001",
|
||||
description="Google Embedding Model to use. Example: 'models/embedding-001'.",
|
||||
)
|
||||
|
||||
|
||||
class OllamaSettings(BaseModel):
|
||||
api_base: str = Field(
|
||||
"http://localhost:11434",
|
||||
@ -426,6 +447,7 @@ class Settings(BaseModel):
|
||||
huggingface: HuggingFaceSettings
|
||||
sagemaker: SagemakerSettings
|
||||
openai: OpenAISettings
|
||||
gemini: GeminiSettings
|
||||
ollama: OllamaSettings
|
||||
azopenai: AzureOpenAISettings
|
||||
vectorstore: VectorstoreSettings
|
||||
|
@ -444,6 +444,7 @@ class PrivateGptUi:
|
||||
"sagemaker": config_settings.sagemaker.llm_endpoint_name,
|
||||
"mock": llm_mode,
|
||||
"ollama": config_settings.ollama.llm_model,
|
||||
"gemini": config_settings.gemini.model,
|
||||
}
|
||||
|
||||
if llm_mode not in model_mapping:
|
||||
|
@ -24,10 +24,12 @@ llama-index-llms-openai = {version = "^0.1.25", optional = true}
|
||||
llama-index-llms-openai-like = {version ="^0.1.3", optional = true}
|
||||
llama-index-llms-ollama = {version ="^0.1.5", optional = true}
|
||||
llama-index-llms-azure-openai = {version ="^0.1.8", optional = true}
|
||||
llama-index-llms-gemini = {version ="^0.1.11", optional = true}
|
||||
llama-index-embeddings-ollama = {version ="^0.1.2", optional = true}
|
||||
llama-index-embeddings-huggingface = {version ="^0.2.2", optional = true}
|
||||
llama-index-embeddings-openai = {version ="^0.1.10", optional = true}
|
||||
llama-index-embeddings-azure-openai = {version ="^0.1.10", optional = true}
|
||||
llama-index-embeddings-gemini = {version ="^0.1.8", optional = true}
|
||||
llama-index-vector-stores-qdrant = {version ="^0.2.10", optional = true}
|
||||
llama-index-vector-stores-chroma = {version ="^0.1.10", optional = true}
|
||||
llama-index-vector-stores-postgres = {version ="^0.1.11", optional = true}
|
||||
@ -50,6 +52,9 @@ sentence-transformers = {version ="^3.0.1", optional = true}
|
||||
# Optional UI
|
||||
gradio = {version ="^4.37.2", optional = true}
|
||||
|
||||
# Optional Google Gemini dependency
|
||||
google-generativeai = {version ="^0.5.4", optional = true}
|
||||
|
||||
[tool.poetry.extras]
|
||||
ui = ["gradio"]
|
||||
llms-llama-cpp = ["llama-index-llms-llama-cpp"]
|
||||
@ -58,11 +63,13 @@ llms-openai-like = ["llama-index-llms-openai-like"]
|
||||
llms-ollama = ["llama-index-llms-ollama"]
|
||||
llms-sagemaker = ["boto3"]
|
||||
llms-azopenai = ["llama-index-llms-azure-openai"]
|
||||
llms-gemini = ["llama-index-llms-gemini", "google-generativeai"]
|
||||
embeddings-ollama = ["llama-index-embeddings-ollama"]
|
||||
embeddings-huggingface = ["llama-index-embeddings-huggingface"]
|
||||
embeddings-openai = ["llama-index-embeddings-openai"]
|
||||
embeddings-sagemaker = ["boto3"]
|
||||
embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
|
||||
embeddings-gemini = ["llama-index-embeddings-gemini"]
|
||||
vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
|
||||
vector-stores-chroma = ["llama-index-vector-stores-chroma"]
|
||||
vector-stores-postgres = ["llama-index-vector-stores-postgres"]
|
||||
|
10
settings-gemini.yaml
Normal file
10
settings-gemini.yaml
Normal file
@ -0,0 +1,10 @@
|
||||
llm:
|
||||
mode: gemini
|
||||
|
||||
embedding:
|
||||
mode: gemini
|
||||
|
||||
gemini:
|
||||
api_key: ${GOOGLE_API_KEY:}
|
||||
model: models/gemini-pro
|
||||
embedding_model: models/embedding-001
|
@ -113,3 +113,8 @@ azopenai:
|
||||
api_version: "2023-05-15"
|
||||
embedding_model: text-embedding-ada-002
|
||||
llm_model: gpt-35-turbo
|
||||
|
||||
gemini:
|
||||
api_key: ${GOOGLE_API_KEY:}
|
||||
model: models/gemini-pro
|
||||
embedding_model: models/embedding-001
|
||||
|
Loading…
Reference in New Issue
Block a user