Hermes-agent

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Zakaria
2026-06-14 14:30:48 -04:00
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# Chroma Integration Guide
Integration with LangChain, LlamaIndex, and frameworks.
## LangChain
```python
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
```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)
```
## Resources
- **Docs**: https://docs.trychroma.com