红尘
d73ff9b0fb
Deploy Site / deploy-vercel (push) Has been cancelled
Deploy Site / deploy-docs (push) Has been cancelled
Docker / shell lint / Lint Dockerfile (hadolint) (push) Has been cancelled
Docker / shell lint / Lint docker/ shell scripts (shellcheck) (push) Has been cancelled
Docker Build and Publish / build-amd64 (push) Has been cancelled
Docker Build and Publish / build-arm64 (push) Has been cancelled
Lint (ruff + ty) / ruff + ty diff (push) Has been cancelled
Lint (ruff + ty) / ruff enforcement (blocking) (push) Has been cancelled
Lint (ruff + ty) / Windows footguns (blocking) (push) Has been cancelled
Nix Lockfile Fix / auto-fix-main (push) Has been cancelled
Nix Lockfile Fix / fix (push) Has been cancelled
Nix / nix (macos-latest) (push) Has been cancelled
Nix / nix (ubuntu-latest) (push) Has been cancelled
OSV-Scanner / Scan lockfiles (push) Has been cancelled
Build Skills Index / build-index (push) Has been cancelled
Tests / test (1) (push) Has been cancelled
Tests / test (2) (push) Has been cancelled
Tests / test (3) (push) Has been cancelled
Tests / test (4) (push) Has been cancelled
Tests / test (5) (push) Has been cancelled
Tests / test (6) (push) Has been cancelled
Tests / e2e (push) Has been cancelled
uv.lock check / uv lock --check (push) Has been cancelled
Docker Build and Publish / merge (push) Has been cancelled
Build Skills Index / trigger-deploy (push) Has been cancelled
Tests / save-durations (push) Has been cancelled
771 B
771 B
Chroma Integration Guide
Integration with LangChain, LlamaIndex, and frameworks.
LangChain
from langchain_chroma import Chroma
from langchain_openai import OpenAIEmbeddings
vectorstore = Chroma.from_documents(
documents=docs,
embedding=OpenAIEmbeddings(),
persist_directory="./chroma_db"
)
# Query
results = vectorstore.similarity_search("query", k=3)
# As retriever
retriever = vectorstore.as_retriever()
LlamaIndex
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)