VectorInstitute/fed-rag Graph

Graph Summary

VectorInstitute/fed-rag graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes64

Edges428

Projects48

Dependencies48

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

fed-rag

MaintainerVectorInstitute

LicenseApache-2.0

LanguagePython

Recent activityLast push 106 days ago

Deployment Targets

Dependencies

Knowledge Graph

64 nodes / 428 edges

VectorInstitute/fed-rag ↔ xorbitsai/inferenceUse xorbitsai/inference when the user needs a rag framework project with docker, kubernetes, library-only deployment options.

VectorInstitute/fed-rag ↔ vespa-engine/vespaUse vespa-engine/vespa when the user needs a rag framework project with docker, library-only, local deployment options.

VectorInstitute/fed-rag ↔ gradio-app/gradioUse gradio-app/gradio when the user needs a rag framework project with docker, library-only, local deployment options.

VectorInstitute/fed-rag ↔ genkit-ai/genkitUse genkit-ai/genkit when the user needs a rag framework project with library-only, local, cloud deployment options.

VectorInstitute/fed-rag ↔ getzep/graphitiUse getzep/graphiti when the user needs a rag framework project with docker, serverless, library-only deployment options.

VectorInstitute/fed-rag ↔ mloda-ai/mlodaUse mloda-ai/mloda when the user needs a rag framework project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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VectorInstitute/fed-rag ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

VectorInstitute/fed-rag ↔ langchain-ai/langgraphUse langchain-ai/langgraph when the user needs a rag framework project with library-only, local, cloud deployment options.

VectorInstitute/fed-rag ↔ mem0ai/mem0Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.

VectorInstitute/fed-rag ↔ getzep/graphitiUse getzep/graphiti when the user needs a rag framework project with docker, serverless, library-only deployment options.

VectorInstitute/fed-rag ↔ gradio-app/gradioUse gradio-app/gradio when the user needs a rag framework project with docker, library-only, local deployment options.

VectorInstitute/fed-rag ↔ MODSetter/SurfSenseUse MODSetter/SurfSense when the user needs a rag framework project with local, cloud deployment options.

Migration Paths

What to verify before switching

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

VectorInstitute/fed-rag -> huggingface/transformersCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:library_only, 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.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.

VectorInstitute/fed-rag -> langchain-ai/langgraphCompatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:library_only, 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.Gaps: License changes from Apache-2.0 to MIT.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.

VectorInstitute/fed-rag -> mem0ai/mem0Compatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:library_only, 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.Gaps: Deployment targets not listed by target: cloud.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.

Use Cases