Comments (2)
그런가? Let's discuss about this.
from ragchain.
Now we don’t use retrievalQA and LLM from langchian.
But we use text splitter, embeddings, Document schema from langchain.
Our purpose is not get rid of all langchain dependncy, just use the good parts of langchain, and replace to the better one at the bad parts of langchain.
from ragchain.
Related Issues (20)
- Add mongoDB Linker
- [HotFix] Json Linker can get db_path properly when use UUID id.
- [HotFix] Get environment variables without load dot env.
- [HotFix] Make sure return score at WeightedTimeReranker
- Refactor whole module compatible to Langchain LCEL
- implement EM score for benchmark
- Refactoring ASQA dataset
- [Refactor] MongoDB use `insert_one` at save() HOT 1
- [HotFix] EM name duplicated with retrieval_gt and answer_gt
- Add Several Ingest Pipeline HOT 1
- Transfer Ownership
- [HotFix] DynamoDB can't put more than 25 elements at once.
- [Bug] Can't download triviaQA
- Implement FLARE (Forward-Looking Active Retrieval augmented generation)
- add version pydantic==1.10.13
- [HotFix] Json linker can't get db_origin from already stored json file.
- Refactoring all evaluator annotations.
- Can't get MRR metric at MrTydiEvaluator at default setting
- Register module name to langchain debug system
- Can't put passages to mongodb at DSTC11Track5 Evaluator HOT 1
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from ragchain.