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What are you building? RAG chatbot

One technology per slot, with the reason it is suggested and what to use instead.

LLM

model

GPT

Family of decoder-only Transformer language models trained with a generative objective.

Why editorial

Any capable instruction-following model works here; the retrieval step, not the model, is what makes the answers specific to your documents.

Embedding

concept

Embedding

Dense numeric vector representing the meaning of a piece of text.

Why derived from the graph

Embedding used by Qdrant

Source

Vector database

database

Qdrant

Open-source vector database written in Rust, with payload filtering.

Why derived from the graph

Qdrant uses Embedding

Source

Framework

framework

LangChain

Framework for composing language models with retrieval, tools and memory.

Why derived from the graph

GPT integrates with LangChain

Source

Reranking

technique

Reranking

Second-stage ordering of retrieved candidates by a more accurate scoring model.

Why derived from the graph

Retrieve-then-rerank is the standard shape of a semantic search pipeline.

Source