RAG Chroma 集成

# Chroma 集成指南 与 LangChain、LlamaIndex 及其他框架的集成。 ## LangChain python from langchain_chroma import Chroma from langchain_openai import OpenAIEmbeddings vectorstore = Chroma.from_documents( documents=docs, embedding=OpenAIEmbeddings(), persist_directory="./chroma_db" ) # 查询 results = vectorstore.similarity_search("query", k=3) # 作为检索器 retriever = vectorstore.as_retriever() ## LlamaIndex python from llama_index.vector_stores.chroma import ChromaVectorStore import chromadb db = chromadb.PersistentClient(path="./chroma_db") collection = db.get_or_create_collection("docs") vector_store = ChromaVectorStore(chroma_collection=collection) ## 资源 - **文档**: https://docs.trychroma.com