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langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-ai21==0.1.7
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-anthropic==0.1.17
langchain-anthropic==0.1.18
langchain-anthropic==0.1.19
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.2
langchain-community==0.2.3
langchain-community==0.2.4
langchain-community==0.2.5
langchain-community==0.2.6
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.11
langchain-core==0.2.2
langchain-core==0.2.2rc1
langchain-core==0.2.3
langchain-core==0.2.4
langchain-core==0.2.5
langchain-core==0.2.6
langchain-core==0.2.7
langchain-core==0.2.8
langchain-core==0.2.9
langchain-couchbase==0.0.1
langchain-exa==0.1.0
langchain-experimental==0.0.58
langchain-experimental==0.0.59
langchain-experimental==0.0.60
langchain-experimental==0.0.61
langchain-experimental==0.0.62
langchain-fireworks==0.1.3
langchain-fireworks==0.1.4
langchain-groq==0.1.4
langchain-groq==0.1.5
langchain-groq==0.1.6
langchain-huggingface==0.0.1
langchain-huggingface==0.0.2
langchain-huggingface==0.0.3
langchain-ibm==0.1.5
langchain-ibm==0.1.6
langchain-ibm==0.1.7
langchain-ibm==0.1.8
langchain-milvus==0.1.0
langchain-milvus==0.1.1
langchain-mistralai==0.1.6
langchain-mistralai==0.1.7
langchain-mistralai==0.1.8
langchain-mistralai==0.1.9
langchain-mongodb==0.1.4
langchain-mongodb==0.1.5
langchain-mongodb==0.1.6
langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-openai==0.1.10
langchain-openai==0.1.11
langchain-openai==0.1.12
langchain-openai==0.1.13
langchain-openai==0.1.14
langchain-openai==0.1.5
langchain-openai==0.1.6
langchain-openai==0.1.7
langchain-openai==0.1.8
langchain-openai==0.1.8rc1
langchain-openai==0.1.9
langchain-pinecone==0.1.1
langchain-prompty==0.0.1
langchain-prompty==0.0.2
langchain-qdrant==0.0.1
langchain-qdrant==0.1.0
langchain-qdrant==0.1.1
langchain-robocorp==0.0.6
langchain-robocorp==0.0.7
langchain-robocorp==0.0.8
langchain-robocorp==0.0.9
langchain-robocorp==0.0.9.post1
langchain-text-splitters==0.0.2
langchain-text-splitters==0.2.0
langchain-text-splitters==0.2.1
langchain-text-splitters==0.2.2
langchain-together==0.1.1
langchain-together==0.1.2
langchain-together==0.1.3
langchain-upstage==0.1.4
langchain-upstage==0.1.5
langchain-voyageai==0.1.1
langchain==0.1.17
langchain==0.1.19
langchain==0.1.20
langchain==0.2.0
langchain==0.2.0rc1
langchain==0.2.0rc2
langchain==0.2.1
langchain==0.2.2
langchain==0.2.3
langchain==0.2.4
langchain==0.2.5
langchain==0.2.6
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${ noResults }
Harrison Chase
8b5e879171
Co-authored-by: Erick Friis <erick@langchain.dev> |
8 months ago | |
|---|---|---|
| .. | ||
| extraction_anthropic_functions | notebook fmt (#12498) | 8 months ago |
| tests | various templates improvements (#12500) | 8 months ago |
| LICENSE | various templates improvements (#12500) | 8 months ago |
| README.md | various templates improvements (#12500) | 8 months ago |
| extraction_anthropic_functions.ipynb | add a template for the package readme (#12499) | 8 months ago |
| poetry.lock | Batch apply `poetry lock --no-update` for all templates (#12531) | 8 months ago |
| pyproject.toml | various templates improvements (#12500) | 8 months ago |
README.md
Extraction with Anthropic Function Calling
This template enables Anthropic function calling. This is a wrapper around Anthropic's API that uses prompting and output parsing to replicate the OpenAI functions experience.
Specify the information you want to extract in chain.py
By default, it will extract the title and author of papers.
LLM
This template will use Claude2 by default.
Be sure that ANTHROPIC_API_KEY is set in your enviorment.