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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
9e0ae56287
|
8 months ago | |
|---|---|---|
| .. | ||
| stepback_qa_prompting | Format Templates (#12396) | 8 months ago |
| tests | Templates (#12294) | 8 months ago |
| README.md | Templates (#12294) | 8 months ago |
| main.py | Format Templates (#12396) | 8 months ago |
| poetry.lock | various templates improvements (#12500) | 8 months ago |
| pyproject.toml | various templates improvements (#12500) | 8 months ago |
README.md
Step-Back Prompting (Question-Answering)
One prompting technique called "Step-Back" prompting can improve performance on complex questions by first asking a "step back" question. This can be combined with regular question-answering applications by then doing retrieval on both the original and step-back question.
Read the paper here
See an excelent blog post on this by Cobus Greyling here
In this template we will replicate this technique. We modify the prompts used slightly to work better with chat models.