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AI Tools including LLM QA RAGs with Graph & Vector DBs

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AI Tools including LLM QA RAGs with Graph & Vector DBs

Retrieval Augmented Generations (RAGs)

Graph Codebase
This repo loads a Python codebase from the web, parses, splits, converts then indexes it into a graph database with an additional vector index of embeddings as node properties, then queries the graph database using a generated Cypher statement or with the vector index using semantically similar embeddings to generate an answer.

Graph Unstructured
This repo loads unstructured data from the web, converts then indexes it into a graph database, then queries the database using a generated Cypher statement to generate an answer.

Vector Codebase
This repo loads a Python codebase from the web, parses, splits then indexes it into a vector database, then queries the database using semantically similar embeddings to generate an answer.

Vector Unstructured
This repo loads unstructured data from the web, splits then indexes it into a vector database, then queries the database using semantically similar embeddings to generate an answer.

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AI Tools including LLM QA RAGs with Graph & Vector DBs

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