2023-10-26 01:47:42 +00:00
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[tool.poetry]
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name = "rag-semi-structured"
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version = "0.1.0"
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2023-11-22 06:41:12 +00:00
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description = "RAG on semi-structured "
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2023-10-31 17:19:15 +00:00
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authors = [
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"Lance Martin <lance@langchain.dev>",
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]
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2023-10-26 01:47:42 +00:00
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readme = "README.md"
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[tool.poetry.dependencies]
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fix: to rag-semi-structured template (#14568)
**Description:**
Fixes to rag-semi-structured template.
- Added required libraries
- pdfminer was causing issues when installing with pip. pdfminer.six
works best
- Changed the pdf name for demo from llama2 to llava
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2023-12-12 23:44:35 +00:00
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python = ">=3.9,<3.11"
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2023-10-31 17:19:15 +00:00
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langchain = ">=0.0.325"
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2023-10-26 01:47:42 +00:00
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tiktoken = ">=0.5.1"
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chromadb = ">=0.4.14"
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2023-11-17 01:10:08 +00:00
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openai = "<2"
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2023-10-26 01:47:42 +00:00
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unstructured = ">=0.10.19"
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pdf2image = ">=1.16.3"
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2023-11-03 20:15:29 +00:00
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pdfminer = "^20191125"
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fix: to rag-semi-structured template (#14568)
**Description:**
Fixes to rag-semi-structured template.
- Added required libraries
- pdfminer was causing issues when installing with pip. pdfminer.six
works best
- Changed the pdf name for demo from llama2 to llava
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2023-12-12 23:44:35 +00:00
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opencv-python = "^4.8.1.78"
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pandas = "^2.1.4"
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pytesseract = "^0.3.10"
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pdfminer-six = "^20221105"
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unstructured-pytesseract = "^0.3.12"
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unstructured-inference = "^0.7.18"
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2023-11-03 20:15:29 +00:00
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[tool.poetry.group.dev.dependencies]
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langchain-cli = ">=0.0.15"
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2023-10-26 01:47:42 +00:00
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[tool.langserve]
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export_module = "rag_semi_structured"
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export_attr = "chain"
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2023-11-22 06:41:12 +00:00
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[tool.templates-hub]
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use-case = "rag"
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author = "LangChain"
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integrations = ["OpenAI", "Chroma", "Unstructured"]
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tags = ["vectordbs"]
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2023-10-26 01:47:42 +00:00
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[build-system]
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2023-10-31 17:19:15 +00:00
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requires = [
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"poetry-core",
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]
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2023-10-26 01:47:42 +00:00
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build-backend = "poetry.core.masonry.api"
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