Comments (2)
To use the import statement from llama_index.indices.multi_modal.base import MultiModalVectorStoreIndex
, you'll need to install the LlamaIndex library and its dependencies. Unfortunately, it seems there isn't a direct pip install
command for LlamaIndex as it might be a part of a larger, specific project or a custom implementation not available on PyPI.
However, if LlamaIndex is a part of a project you're working on or if it's available in a GitHub repository, you should look for a requirements.txt
file or a pyproject.toml
file in the repository for a list of dependencies. Typically, you can install all required packages using:
pip install -r requirements.txt
Or, for pyproject.toml
:
pip install poetry
poetry install
If LlamaIndex is indeed a custom or private library, you might need to check with the project maintainers or documentation for the correct installation procedure.
In case you're referring to a publicly available library that I'm not aware of, please ensure you have the correct name or provide more context so I can offer more precise assistance.
Details
Sources
- llama-index-core/pyproject.toml
- llama-index-core/llama_index/core/indices/multi_modal/init.py
- llama-index-legacy/pyproject.toml
- llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml
- llama-index-integrations/llms/llama-index-llms-vllm/pyproject.toml
- llama-index-integrations/tools/llama-index-tools-metaphor/requirements.txt
- llama-index-integrations/readers/llama-index-readers-linear/requirements.txt
- llama-index-integrations/readers/llama-index-readers-preprocess/requirements.txt
- llama-index-integrations/readers/llama-index-readers-pdb/requirements.txt
- llama-index-core/llama_index/core/download/integration.py
- llama-index-legacy/tests/readers/BUILD
- llama-index-networks/examples/demo/client-env-files/template.env.contributor_2.client
- llama-index-networks/examples/privacy_safe_retrieval/contributor-2/template.env.contributor.service
- docs/docs/getting_started/installation.md
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from llama_index.
@eranault the import is incorrect
from llama_index.core.indices.multi_modal.base import MultiModalVectorStoreIndex
(its inside llama-index-core
, which is installed for you when you run pip install llama-index
)
from llama_index.
Related Issues (20)
- [Bug]: While using the AzureAIVectorStore for retrieval options via existing index, it's failing due to "the JSON object must be str, bytes or bytearray, not dict" HOT 5
- [Bug]: Errors occur in llama-index-embeddings-azure-openai version 0.1.9 when using azure_ad without setting the API key HOT 2
- Elasticsearch embedding retireval issue HOT 10
- [Question]: Does LLamaIndex retriever implicitly filters/slices data based on metadata? HOT 5
- [Question]: llama-index-embeddings-huggingface without torch and cudnn librarires HOT 3
- cv-assistant
- response generation issue using elasticsearch HOT 5
- Elasticsearch persistence HOT 6
- [Question]: Implementing randomized Azure resources for indexing with VectorStoreIndex in asynchronous mode HOT 3
- [Question]: sent-len of sentence-spliter HOT 2
- [Bug]: System prompt has no effect using Ollama HOT 3
- API key for content summarization HOT 1
- [Question]: How to write production grade code HOT 3
- [Question]: Generate Only SQL Query HOT 4
- [Question]: how does llamaindex support large datasets? HOT 11
- [Bug]: MongoDBAtlasVectorSearch & VectorStoreIndex.from_vector_store are not working as expected HOT 5
- [Bug]: LanceDBVectorStore database size blows up on creation HOT 1
- [Question]: node structure for elasticsearch ~ Dosubot
- [Question]: SQL query response has 'sql\n' from SQLAutoVectorQueryEngine HOT 1
- [Question]: I want to get the coordinates using Unstructured as the metadata of nodes HOT 1
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from llama_index.