embeddings(langchain/libs/langchain/langchain/embeddings),则涉及到各种embeddings算法,分别体现在各种代码文件中: elasticsearch.py、google_palm.py、gpt4all.py、huggingface.py、huggingface_hub.py llamacpp.py、minimax.py、modelscope_hub.py、mosaicml.py openai.py sentence_transformer.py、spacy_embeddings...
Chroma Vector Store Elasticsearch Vector Store GemFire Vector Store MariaDB Vector Store Milvus Vector...
# unique for each doc ) # Query/search 2 most similar results. You can also .get by id ...
Elasticsearch vector search support Fix lib/langchain/railtie.rb not being loaded with the gem [0.6.18] - 2023-10-16 Introduce `Langchain::LLM::Response`` object Introduce Langchain::Chunk object Add the ask() method to the Langchain::ActiveRecord::Hooks [0.6.17] - 2023-10-10 Bump wea...
"DynamoDBChatMessageHistory": "langchain_community.chat_message_histories.dynamodb", "ElasticsearchChatMessageHistory": "langchain_community.chat_message_histories.elasticsearch", # noqa: E501 "FileChatMessageHistory": "langchain_community.chat_message_histories.file",107...
比如与Elasticsearch数据库交互的:elasticsearch_database 比如基于知识图谱问答的:graph_qa 其中的代码文件:chains/graph_qa/base.py 便实现了一个基于知识图谱实现的问答系统,具体步骤为首先,根据提取到的实体在知识图谱中查找相关的信息「这是通过 self.graph.get_entity_knowledge(entity) 实现的,它返回的是与实体...
市场上有许多成熟的向量数据库,一般最常用的是elasticsearch和milvus。常规rag框架几乎都支持,下面演示用langchain调用elasticsearch。 from langchain import ElasticVectorSearch from langchain_community.embeddings import OpenAIEmbeddings embedding = OpenAIEmbeddings() elastic_host = "http://127.0.0.1" elasticsearch_...
快速开始 - Agents-Flex 官方网站agentsflex.com/zh/intro/getting-started.html solon-ai支持 Java...
Integration with Elasticsearch by @Martin7-1 Integration with Redis by @Martin7-1 Integration with Milvus by @IuriiKoval Integration with Astra DB and Cassandra by @clun Added support for overlap in document splitters Some bugfixes and smaller improvements 29 August: Offline text classification with...
env.ELASTICSEARCH_API_KEY || "", 61 + }, 62 + }); 63 + 64 + const vectorStore = new ElasticVectorSearch(embeddingModel, { 65 + client, 66 + indexName: "langchain_index", 67 + }); 68 + 69 + const searchKwargs = configuration.searchKwargs || {}; 70 +...