* RAG on your PDF data using chromadb and groq api * Multiple embeeding and llm support * Multiple embedding and llm support * Default embeddings set to hugging face * organize imports * huggingface_doc data source added * Update and rename Local_PDF_RAG_using_chromadb.py to rag_using_chromadb.py * Quality fix * Default agent set to CodeAgent |
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.. | ||
benchmark.ipynb | ||
e2b_example.py | ||
gradio_upload.py | ||
inspect_runs.py | ||
multiple_tools.py | ||
rag.py | ||
rag_using_chromadb.py | ||
text_to_sql.py | ||
tool_calling_agent_from_any_llm.py | ||
tool_calling_agent_mcp.py | ||
tool_calling_agent_ollama.py |