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harrison/datetime
harrison/openapiagent
harrison/paged-pdf
harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
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
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langchain-anthropic==0.1.21
langchain-anthropic==0.1.22
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langchain-anthropic==0.2.0
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langchain-anthropic==0.2.0.dev1
langchain-anthropic==0.2.1
langchain-azure-dynamic-sessions==0.1.0
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langchain-cli==0.0.25
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langchain-cli==0.0.31
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langchain-nomic==0.1.0
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langchain-nomic==0.1.3
langchain-ollama==0.1.0
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langchain-ollama==0.1.2
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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==0.1.15
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langchain-openai==0.1.19
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langchain-openai==0.1.21
langchain-openai==0.1.21rc1
langchain-openai==0.1.21rc2
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langchain-openai==0.1.9
langchain-openai==0.2.0
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langchain-openai==0.2.0.dev2
langchain-pinecone==0.1.1
langchain-pinecone==0.1.2
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langchain-prompty==0.0.1
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langchain-robocorp==0.0.10
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langchain-robocorp==0.0.7
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langchain-text-splitters==0.0.2
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Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'e257380deb'
${ noResults }
Commit Graph

1 Commits (e257380debb8640268d2d2577f89139b3ea0b46f)

Author SHA1 Message Date
Vashisht Madhavan aa439ac2ff
Adding an in-context QA evaluation chain + chain of thought reasoning chain for improved accuracy (#2444) 
Right now, eval chains require an answer for every question. It's
cumbersome to collect this ground truth so getting around this issue
with 2 things:

* Adding a context param in `ContextQAEvalChain` and simply evaluating
if the question is answered accurately from context
* Adding chain of though explanation prompting to improve the accuracy
of this w/o GT.

This also gets to feature parity with openai/evals which has the same
contextual eval w/o GT.

TODO in follow-up:
* Better prompt inheritance. No need for seperate prompt for CoT
reasoning. How can we merge them together

---------

Co-authored-by: Vashisht Madhavan <vashishtmadhavan@Vashs-MacBook-Pro.local>
 1 year ago