LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Configure LightRAG for high availability using distributed storage like Redis Cluster, Qdrant, Neo4j, PostgreSQL, or MongoDB with multiple FastAPI replicas for robust performance.
How to Implement Custom Entity Types in LightRAG Using addon_paramsEasily implement custom entity types in LightRAG by configuring addon_params. Override default taxonomy without modifying core code for flexible data extraction.
How to Migrate Existing Vector Databases to LightRAG's Storage System: A Complete GuideEasily migrate your vector databases from Qdrant Milvus or PostgreSQL to LightRAGs storage system. Our guide ensures seamless data validation dimension checks and preserves your valuable data through automatic migration.
How to Troubleshoot LightRAG Entity Extraction Issues When the Knowledge Graph Is Not BuildingTroubleshoot LightRAG entity extraction issues and knowledge graph errors. Learn to fix token-count guards, LLM output, and storage configurations for successful graph building.
How to Implement Citation Functionality in LightRAG to Trace Sources with File PathsLearn how to implement citation functionality in LightRAG. Trace knowledge sources with file paths by setting include_references=True during queries and passing file_paths during document insertion.
JsonKVStorage vs PostgreSQL in LightRAG: Choosing Between File and Database StorageDiscover the differences between JsonKVStorage and PostgreSQL in LightRAG. Choose the right storage for your RAG application development, from local JSON files to robust database solutions.
How to Use Pipeline Insert (`apipeline_enqueue_documents`) for Incremental Document Indexing in LightRAGLearn to use LightRAG's apipeline_enqueue_documents for efficient incremental document indexing. Asynchronously add new content, deduplicate, and update your knowledge graph without full re-indexing.
How to Configure chunk_token_size and chunk_overlap_token_size in LightRAGLearn how to configure chunk_token_size and chunk_overlap_token_size in LightRAG for optimal text splitting. Control text granularity and context preservation easily.
Best Practices for Large-Scale Dataset Processing with max_parallel_insert in LightRAGOptimize large-scale dataset processing in LightRAG. Learn best practices for max_parallel_insert, tuning it from 2 to 8 based on your system limits. Maximize performance efficiently.
How to Integrate LightRAG with LlamaIndex for Advanced IndexingIntegrate LightRAG with LlamaIndex for advanced indexing using LightRAG's adapter. Learn how to leverage LLM and embedding backends for enhanced document retrieval and analysis.
How to Use the Workspace Parameter in LightRAG for Multi-Tenant RAG Application IsolationLearn how the LightRAG workspace parameter isolates tenant data across KV, vector, and graph stores. Secure multi-tenant RAG applications with this essential feature.
How LightRAG's Reranking Integration Works with Jina AI and Cohere APIsDiscover how LightRAG seamlessly integrates with Jina AI and Cohere rerank APIs. Learn about its unified async helpers and token-aware chunking for efficient document processing.
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