mirrors/hermes-agent
1
0
Fork 0
mirror of https://github.com/NousResearch/hermes-agent.git synced 2026-04-26 01:01:40 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 4
hermes-agent/skills/mlops/chroma/references/integration.md
teknium f172f7d4aa Add skills tools and enhance model integration 
- Introduced new skills tools: `skills_categories`, `skills_list`, and `skill_view` in `model_tools.py`, allowing for better organization and access to skill-related functionalities.
- Updated `toolsets.py` to include a new `skills` toolset, providing a dedicated space for skill tools.
- Enhanced `batch_runner.py` to recognize and validate skills tools during batch processing.
- Added comprehensive tool definitions for skills tools, ensuring compatibility with OpenAI's expected format.
- Created new shell script `test_skills_kimi.sh` for testing skills tool functionality with Kimi K2.5.
- Added example skill files demonstrating the structure and usage of skills within the Hermes-Agent framework, including `SKILL.md` for example and audiocraft skills.
- Improved documentation for skills tools and their integration into the existing tool framework, ensuring clarity for future development and usage.
2026-01-30 07:39:55 +00:00

771 B
Raw Blame History

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)

Resources