LlamaFarm's RAG system capabilities
LlamaFarm's Retrieval Augmentation Generation (RAG) system demonstrates superior file format compatibility and database integration capabilities. This data pipeline system supports 15+ common file formats, including mainstream document formats such as PDF, Word and Markdown. It is also compatible with more than 8 vector databases, covering common industry solutions such as Chroma and Pinecone.
- Extensive document support: full coverage of office, plain text and technical document formats
- Database compatibility: support mainstream vector databases and retrieval systems
- Knowledge Retrieval Function: Provides high-precision search with reordering capability
- Data processing strategy: chunking and processing can be adjusted according to different strategies such as RESEARCH
This answer comes from the articleLlamaFarm: a development framework for rapid local deployment of AI models and applicationsThe
May not be reproduced without permission:AI productivity tools " LlamaFarm's RAG system can handle more than 15 file formats and is compatible with 8 vector databases
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