Project Graph

run-llama/rags

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

run-llama/rags graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes64
Edges427
Projects48
Dependencies48

Project Context

rags

Maintainerrun-llama
LicenseMIT
LanguagePython
Recent activityLast push 931 days ago

Deployment Targets

localcloud

Dependencies

Vector databaseLLM provider

Knowledge Graph

64 nodes / 427 edges

run-llama/rags focus rag framework category local deployment cloud deployment build RAG app… use case connect priva… use case index documen… use case Vector databa… dependency LLM provider dependency transformers project langgraph project mem0 project gptme project langroid project eliza project

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

run-llama/rags -> huggingface/transformersCompatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database, dependency:LLM provider.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
run-llama/rags -> langchain-ai/langgraphCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database, dependency:LLM provider.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
run-llama/rags -> mem0ai/mem0Compatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:local, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: cloud. License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases

build RAG applicationsconnect private data to LLMsindex documents for retrieval

Categories

rag framework

Alternatives

huggingface/transformerslangchain-ai/langgraphmem0ai/mem0bytedance/deer-flowMODSetter/SurfSenseelizaOS/eliza

Related Projects

gptme/gptmelangroid/langroidelizaOS/elizabytedance/deer-flowMODSetter/SurfSensegenkit-ai/genkit