gpt4all/gpt4all-chat/embeddings.cpp
AT 4b413a60e4 Update gpt4all-chat/embeddings.cpp
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Signed-off-by: AT <manyoso@users.noreply.github.com>
2023-11-17 11:59:31 -05:00

191 lines
4.8 KiB
C++

#include "embeddings.h"
#include <QFile>
#include <QFileInfo>
#include <QDebug>
#include "mysettings.h"
#include "hnswlib/hnswlib.h"
#define EMBEDDINGS_VERSION 0
const int s_dim = 384; // Dimension of the elements
const int s_ef_construction = 200; // Controls index search speed/build speed tradeoff
const int s_M = 16; // Tightly connected with internal dimensionality of the data
// strongly affects the memory consumption
Embeddings::Embeddings(QObject *parent)
: QObject(parent)
, m_space(nullptr)
, m_hnsw(nullptr)
{
m_filePath = MySettings::globalInstance()->modelPath()
+ QString("embeddings_v%1.dat").arg(EMBEDDINGS_VERSION);
}
Embeddings::~Embeddings()
{
delete m_hnsw;
m_hnsw = nullptr;
delete m_space;
m_space = nullptr;
}
bool Embeddings::load()
{
QFileInfo info(m_filePath);
if (!info.exists()) {
qWarning() << "ERROR: loading embeddings file does not exist" << m_filePath;
return false;
}
if (!info.isReadable()) {
qWarning() << "ERROR: loading embeddings file is not readable" << m_filePath;
return false;
}
if (!info.isWritable()) {
qWarning() << "ERROR: loading embeddings file is not writeable" << m_filePath;
return false;
}
try {
m_space = new hnswlib::InnerProductSpace(s_dim);
m_hnsw = new hnswlib::HierarchicalNSW<float>(m_space, m_filePath.toStdString(), s_M, s_ef_construction);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not load hnswlib index:" << e.what();
return false;
}
return isLoaded();
}
bool Embeddings::load(qint64 maxElements)
{
try {
m_space = new hnswlib::InnerProductSpace(s_dim);
m_hnsw = new hnswlib::HierarchicalNSW<float>(m_space, maxElements, s_M, s_ef_construction);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not create hnswlib index:" << e.what();
return false;
}
return isLoaded();
}
bool Embeddings::save()
{
if (!isLoaded())
return false;
try {
m_hnsw->saveIndex(m_filePath.toStdString());
} catch (const std::exception &e) {
qWarning() << "ERROR: could not save hnswlib index:" << e.what();
return false;
}
return true;
}
bool Embeddings::isLoaded() const
{
return m_hnsw != nullptr;
}
bool Embeddings::fileExists() const
{
QFileInfo info(m_filePath);
return info.exists();
}
bool Embeddings::resize(qint64 size)
{
if (!isLoaded()) {
qWarning() << "ERROR: attempting to resize an embedding when the embeddings are not open!";
return false;
}
Q_ASSERT(m_hnsw);
try {
m_hnsw->resizeIndex(size);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not resize hnswlib index:" << e.what();
return false;
}
return true;
}
bool Embeddings::add(const std::vector<float> &embedding, qint64 label)
{
if (!isLoaded()) {
bool success = load(500);
if (!success) {
qWarning() << "ERROR: attempting to add an embedding when the embeddings are not open!";
return false;
}
}
Q_ASSERT(m_hnsw);
if (m_hnsw->cur_element_count + 1 > m_hnsw->max_elements_) {
if (!resize(m_hnsw->max_elements_ + 500)) {
return false;
}
}
try {
m_hnsw->addPoint(embedding.data(), label, false);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not add embedding to hnswlib index:" << e.what();
return false;
}
return true;
}
void Embeddings::remove(qint64 label)
{
if (!isLoaded()) {
qWarning() << "ERROR: attempting to remove an embedding when the embeddings are not open!";
return;
}
Q_ASSERT(m_hnsw);
try {
m_hnsw->markDelete(label);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not add remove embedding from hnswlib index:" << e.what();
}
}
void Embeddings::clear()
{
delete m_hnsw;
m_hnsw = nullptr;
delete m_space;
m_space = nullptr;
}
std::vector<qint64> Embeddings::search(const std::vector<float> &embedding, int K)
{
if (!isLoaded())
return {};
Q_ASSERT(m_hnsw);
std::priority_queue<std::pair<float, hnswlib::labeltype>> result;
try {
result = m_hnsw->searchKnn(embedding.data(), K);
} catch (const std::exception &e) {
qWarning() << "ERROR: could not search hnswlib index:" << e.what();
return {};
}
std::vector<qint64> neighbors;
neighbors.reserve(K);
while(!result.empty()) {
neighbors.push_back(result.top().second);
result.pop();
}
// Reverse the neighbors, as the top of the priority queue is the farthest neighbor.
std::reverse(neighbors.begin(), neighbors.end());
return neighbors;
}