diff options
author | Grail Finder <wohilas@gmail.com> | 2025-10-19 13:14:56 +0300 |
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committer | Grail Finder <wohilas@gmail.com> | 2025-10-19 13:14:56 +0300 |
commit | 60ccaed2009c535c9c92c163995577fcde7aadb6 (patch) | |
tree | 4621fdbcd4b86cc32c7c05ff13b907136424f765 /rag/embedder.go | |
parent | dfa164e871a62f814aeeb9ced6350e74a52f65b3 (diff) |
Chore: remove old rag
Diffstat (limited to 'rag/embedder.go')
-rw-r--r-- | rag/embedder.go | 99 |
1 files changed, 99 insertions, 0 deletions
diff --git a/rag/embedder.go b/rag/embedder.go new file mode 100644 index 0000000..1804019 --- /dev/null +++ b/rag/embedder.go @@ -0,0 +1,99 @@ +package rag + +import ( + "bytes" + "encoding/json" + "fmt" + "gf-lt/config" + "log/slog" + "net/http" +) + +// Embedder defines the interface for embedding text +type Embedder interface { + Embed(text []string) ([][]float32, error) + EmbedSingle(text string) ([]float32, error) +} + +// APIEmbedder implements embedder using an API (like Hugging Face, OpenAI, etc.) +type APIEmbedder struct { + logger *slog.Logger + client *http.Client + cfg *config.Config +} + +func NewAPIEmbedder(l *slog.Logger, cfg *config.Config) *APIEmbedder { + return &APIEmbedder{ + logger: l, + client: &http.Client{}, + cfg: cfg, + } +} + +func (a *APIEmbedder) Embed(text []string) ([][]float32, error) { + payload, err := json.Marshal( + map[string]any{"inputs": text, "options": map[string]bool{"wait_for_model": true}}, + ) + if err != nil { + a.logger.Error("failed to marshal payload", "err", err.Error()) + return nil, err + } + + req, err := http.NewRequest("POST", a.cfg.EmbedURL, bytes.NewReader(payload)) + if err != nil { + a.logger.Error("failed to create new req", "err", err.Error()) + return nil, err + } + + if a.cfg.HFToken != "" { + req.Header.Add("Authorization", "Bearer "+a.cfg.HFToken) + } + + resp, err := a.client.Do(req) + if err != nil { + a.logger.Error("failed to embed text", "err", err.Error()) + return nil, err + } + defer resp.Body.Close() + + if resp.StatusCode != 200 { + err = fmt.Errorf("non 200 response; code: %v", resp.StatusCode) + a.logger.Error(err.Error()) + return nil, err + } + + var emb [][]float32 + if err := json.NewDecoder(resp.Body).Decode(&emb); err != nil { + a.logger.Error("failed to decode embedding response", "err", err.Error()) + return nil, err + } + + if len(emb) == 0 { + err = fmt.Errorf("empty embedding response") + a.logger.Error("empty embedding response") + return nil, err + } + + return emb, nil +} + +func (a *APIEmbedder) EmbedSingle(text string) ([]float32, error) { + result, err := a.Embed([]string{text}) + if err != nil { + return nil, err + } + if len(result) == 0 { + return nil, fmt.Errorf("no embeddings returned") + } + return result[0], nil +} + +// TODO: ONNXEmbedder implementation would go here +// This would require: +// 1. Loading ONNX models locally +// 2. Using a Go ONNX runtime (like gorgonia/onnx or similar) +// 3. Converting text to embeddings without external API calls +// +// For now, we'll focus on the API implementation which is already working in the current system, +// and can be extended later when we have ONNX runtime integration + |