Retrieval-augmented-generation Libraries

3 Components & Libraries

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Retrieval-augmented-generation Libraries

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks a…

Ship RAG based LLM web apps in seconds.

for built-in data readers (github, pdf, docx, ipynb, epub, mbox, websites..), install with: huggingface - ollama example: microsoft azure - openai example: google - vertexai example: aws bedrock - cl…

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

Index ChatGPT has constraints due to its limited knowledge base, sometimes resulting in hallucinating answers when asked about unfamiliar topics. We are introducing the new AI stack, ChatGPT+Vector d…

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