I deleted "import openai" part but no change. Could somebody pls help me? from dotenv import load_dotenv from langchain.llms import AzureOpenAI from langchain.embeddings import OpenAIEmbeddings import openai import os # Load environment variables load_dotenv() # Configure Azure OpenAI Service API...
llm: BaseLanguageModel, prompt: Optional[PromptTemplate] = None, get_input: Optional[Callable[[str, Document], str]] = None, llm_chain_kwargs: Optional[dict] = None, ) -> "LLMChainExtractor": """Initialize from LLM.""" _prompt = prompt if prompt is not None else _get_default_chai...
📃LangChain-Chatchat(原 Langchain-ChatGLM) 基于ChatGLM 等大语言模型与 Langchain 等应用框架实现,开源、可离线部署的检索增强生成(RAG)大模型知识库项目。 ⚠️ 重要提示 0.2.10将会是0.2.x系列的最后一个版本,0.2.x系列版本将会停止更新和技术支持,全力研发具有更强应用性的Langchain-Chatchat 0.3.x。
import ( "context" "flag" "fmt" "log" "net/http" "net/http/httputil" "github.com/tmc/langchaingo/llms" "github.com/tmc/langchaingo/llms/openai" ) var flagDebugHTTP = flag.Bool("debug-http", true, "enable debugging of HTTP requests and responses") func main() { // Demonstrates...
The embedding service deploys the open source bge-large-zh model by itself, and deploys it with the help of oneapi; The block logic is modified with reference to LangchainChatChat to avoid the problem of garbled characters when using cl100k_base to split tokens; ...
You can't currently pass search params to the vector store's similarity search when using the self-query retriever's fromLLM function, so this pull request added more parameters to pass to SelfQueryRetriever constructor.
Response Tracing for LangChain in Python An example CLI tool in Python demonstrating how to integrate Pangea's Secure Audit Log service into a LangChain app to maintain an audit log of response generations coming from LLMs. This is useful to monitor for hallucinations and leaking sensitive data...
OpenLIT: Complete Observability and Evals for the Entire GenAI Stack, from LLMs to GPUs. Improve your LLM apps from playground to production 📈. Supports 20+ monitoring integrations like OpenAI & LangChain. Collect and Send GPU performance, costs, toke
An example Cloudflare Worker demonstrating how to integrate Pangea's Secure Audit Log service into a LangChain app to maintain an audit log of response generations coming from LLMs. This is useful to monitor for hallucinations and leaking sensitive data.