Reliable RAG setup that uses Semantic Double Merging Chunking from llamaindex, Qdrant Hybrid Search, colBERT for reranking and Google Gemini as LLM. - Lokesh-Chimakurthi/Reliable_RAG
用到的代码: importrequestsfromtypingimportList,DictfromragatouilleimportRAGPretrainedModelfromlangchain_core.callbacksimportCallbackManagerForRetrieverRunfromlangchain_core.documentsimportDocumentfromlangchain_core.retrieversimportBaseRetrieverfromlangchain.chainsimportcreate_retrieval_chainfromlangchain.chains.combine_...
其中,rag-retrieval-reranker是我们使用RAG-Retrieval代码在hfl/chinese-roberta-wwm-ext模型上训练所得,训练数据使用bge-rerank模型的训练数据. colbert模型在 MTEB Reranking 任务的结果 ModelModel Size(GB)DimT2RerankingMMarcoRerankingCMedQAv1CMedQAv2Avg ...
如图1所示,ColBERT可以在几十毫秒或几百毫秒内完成查询。例如,当用于“ColBERT (re-rank)”中的重新排名时,相对于现有的基于BERT的模型,它提供了超过170x的加速比(需要减少14000xFLOPs),同时比每一个non-BERT基线更有效(§4.2和4.3)。ColBERT的索引是它唯一需要通过BERT提供文档的时间,也是很实用的:它可以使用一...
We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.Uciam volora ditatur Axim voloreribus moluptati autet hario qui a nust faciis reperro vitatia dipsandelia sit laborum, quassitio...
When I was in my twenties, I thought, “ That's a good model.” I mean, not in any way that I base myself [on], but that's a lovely message. ON HIS YOUTHFUL LOSS OF FAITH: The minute I went to college, I didn't believe in God. The minute I had an opportunity tosort of...
importtransformersfromtransformersimportAutoTokenizer,TrainingArguments,get_cosine_schedule_with_warmup,AdamWfromretrievalsimportAutoModelForRanking,RerankCollator,RerankTrainDataset,RerankTrainer,ColBERT,RetrievalTrainDataset,ColBertCollatorfromretrievals.lossesimportColbertLoss ...
and does heuristic based search of individual vectors to find potentially related docs and fetch all vectors of those docs for calculating maxsim to re-rank them. def rerank_single_doc(doc_id, data, client, collection_name): # Rerank a single document by retrieving its embeddings and calcula...
Step 3: Search the collection with your queries.Given the model and index, you canissue queries over the collectionto retrieve the top-k passages for each query. Below, we illustrate these steps via an example run on the MS MARCO Passage Ranking task. ...
This repo provides a simple implementation of ColBERT-v1 model. The official github repo: Link (v1 branch) ColBERT is a powerful late-interaction model that could perform both retrieval and reranking. Get Started conda create -n nanoColBERT python=3.8 && conda activate nanoColBERT ## install...