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- 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.
38 lines
771 B
Markdown
38 lines
771 B
Markdown
# Chroma Integration Guide
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Integration with LangChain, LlamaIndex, and frameworks.
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## LangChain
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```python
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from langchain_chroma import Chroma
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from langchain_openai import OpenAIEmbeddings
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vectorstore = Chroma.from_documents(
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documents=docs,
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embedding=OpenAIEmbeddings(),
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persist_directory="./chroma_db"
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)
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# Query
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results = vectorstore.similarity_search("query", k=3)
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# As retriever
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retriever = vectorstore.as_retriever()
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```
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## LlamaIndex
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```python
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from llama_index.vector_stores.chroma import ChromaVectorStore
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import chromadb
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db = chromadb.PersistentClient(path="./chroma_db")
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collection = db.get_or_create_collection("docs")
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vector_store = ChromaVectorStore(chroma_collection=collection)
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```
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## Resources
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- **Docs**: https://docs.trychroma.com
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