llama.cpp/examples/retrieval
Georgi Gerganov 152610eda9
server : output embeddings for all tokens when pooling = none (#10861)
* server : add "tokens" output

ggml-ci

* server : output embeddings for all tokens when pooling = none

ggml-ci

* server : update readme [no ci]

* server : fix spacing [no ci]

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* server : be explicit about the pooling type in the tests

ggml-ci

* server : update /embeddings and /v1/embeddings endpoints

ggml-ci

* server : do not normalize embeddings when there is no pooling

ggml-ci

* server : update readme

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* server : fixes

* tests : update server tests

ggml-ci

* server : update readme [no ci]

* server : remove rebase artifact

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Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-12-18 13:01:41 +02:00
..
CMakeLists.txt ggml : move AMX to the CPU backend (#10570) 2024-11-29 21:54:58 +01:00
README.md build: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809) 2024-06-13 00:41:52 +01:00
retrieval.cpp server : output embeddings for all tokens when pooling = none (#10861) 2024-12-18 13:01:41 +02:00

llama.cpp/examples/retrieval

Demonstration of simple retrieval technique based on cosine similarity

More info: https://github.com/ggerganov/llama.cpp/pull/6193

How to use

retieval.cpp has parameters of its own:

  • --context-file: file to be embedded - state this option multiple times to embed multiple files
  • --chunk-size: minimum size of each text chunk to be embedded
  • --chunk-separator: STRING to divide chunks by. newline by default

retrieval example can be tested as follows:

make -j && ./llama-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 .

This chunks and embeds all given files and starts a loop requesting query inputs:

Enter query:

On each query input, top k chunks are shown along with file name, chunk position within file and original text:

Enter query: describe the mit license
batch_decode: n_tokens = 6, n_seq = 1
Top 3 similar chunks:
filename: README.md
filepos: 119
similarity: 0.762334
textdata:
png)

[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)

[Roadmap](https://github.
--------------------
filename: License
filepos: 0
similarity: 0.725146
textdata:
MIT License

Copyright (c) 2023 Georgi Gerganov

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
--------------------
filename: README.md
filepos: 9178
similarity: 0.621722
textdata:
com/cztomsik/ava) (MIT)
- [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal)
- [pythops/tenere](https://github.
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