Data framework for connecting LLMs to private and external data via ingestion, indexing, and query engines. LlamaIndex supports RAG, agents, and production workflows through LlamaCloud.
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Data framework for connecting LLMs to private and external data via ingestion, indexing, and query engines. LlamaIndex supports RAG, agents, and production workflows through LlamaCloud.
LlamaIndex ingestion pipelines handle heterogeneous document collections at scale.
Outline steps to ingest 500 PDF manuals into LlamaIndex with metadata filters by product line and department.
Pricing, features, limits and latest updates
Data framework for connecting LLMs to private and external data via ingestion, indexing, and query engines. LlamaIndex supports RAG, agents, and production workflows through LlamaCloud.
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api workflow (www.llamaindex.ai).
open source workflow (www.llamaindex.ai).
agents workflow (www.llamaindex.ai).
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Example prompt
Prompt
Outline steps to ingest 500 PDF manuals into LlamaIndex with metadata filters by product line and department.
Short explanation
LlamaIndex ingestion pipelines handle heterogeneous document collections at scale.
Example prompt
Prompt
Design a LlamaIndex workflow that answers questions using both structured sales data and unstructured policy documents.
Short explanation
Hybrid retrieval combines structured and unstructured sources in one query layer.
Required fields are marked. Variation, result, and explanation are optional.
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