mirror of
https://github.com/ggerganov/llama.cpp.git
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64e7b47c69
* add `retrieval` example * add README * minor fixes * cast filepos on print * remove use of variable sized array * store similarities in separate vector * print error on insufficient batch size * fix error message printing * assign n_batch value to n_ubatch * fix param definitions * define retrieval-only parameters in retrieval.cpp * fix `--context-file` option to be provided multiple times for multiple files * use vector for `query_emb` * add usage description in README * fix merge conflict * fix usage printing * remove seed setting * fix lint * increase file read buffer size * retrieval : minor --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
70 lines
2.1 KiB
Markdown
70 lines
2.1 KiB
Markdown
# llama.cpp/examples/retrieval
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Demonstration of simple retrieval technique based on cosine similarity
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More info:
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https://github.com/ggerganov/llama.cpp/pull/6193
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### How to use
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`retieval.cpp` has parameters of its own:
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- `--context-file`: file to be embedded - state this option multiple times to embed multiple files
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- `--chunk-size`: minimum size of each text chunk to be embedded
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- `--chunk-separator`: STRING to divide chunks by. newline by default
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`retrieval` example can be tested as follows:
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```bash
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make -j && ./retrieval --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator .
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```
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This chunks and embeds all given files and starts a loop requesting query inputs:
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```
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Enter query:
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```
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On each query input, top k chunks are shown along with file name, chunk position within file and original text:
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```
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Enter query: describe the mit license
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batch_decode: n_tokens = 6, n_seq = 1
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Top 3 similar chunks:
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filename: README.md
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filepos: 119
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similarity: 0.762334
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textdata:
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png)
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[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
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[Roadmap](https://github.
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--------------------
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filename: License
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filepos: 0
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similarity: 0.725146
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textdata:
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MIT License
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Copyright (c) 2023 Georgi Gerganov
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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--------------------
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filename: README.md
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filepos: 9178
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similarity: 0.621722
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textdata:
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com/cztomsik/ava) (MIT)
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- [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal)
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- [pythops/tenere](https://github.
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--------------------
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```
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