From 2a6fd554998c64733e2d97aecf653f6e48e0f8b4 Mon Sep 17 00:00:00 2001
From: Mitja Felicijan <mitja.felicijan@gmail.com>
Date: Fri, 13 Feb 2026 18:07:45 +0100
Subject: Store context documents to Vector Database

---
 context.c | 174 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 174 insertions(+)
 create mode 100644 context.c

(limited to 'context.c')

diff --git a/context.c b/context.c
new file mode 100644
index 0000000..9b9770c
--- /dev/null
+++ b/context.c
@@ -0,0 +1,174 @@
+#include "llama.h"
+#include "vectordb.h"
+#include "models.h"
+
+#define NONSTD_IMPLEMENTATION
+#include "nonstd.h"
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <getopt.h>
+
+#define MAX_TOKENS 512
+#define MAX_TOKEN_LEN 32
+
+typedef struct {
+
+} Engine;
+
+static void llama_log_callback(enum ggml_log_level level, const char *text, void *user_data) {
+	(void)level;
+	(void)user_data;
+	(void)text;
+}
+
+void list_available_models() {
+	printf("Model list:\n");
+	ModelConfig model;
+	static_foreach(ModelConfig, model, models) {
+		printf(" - %s [ctx: %d, temp: %f]\n", model.name, model.n_ctx, model.temperature);
+	}
+}
+
+static void show_help(const char *prog) {
+	printf("Usage: %s [OPTIONS]\n", prog);
+	printf("Options:\n");
+	printf("  -m, --model <name>    Specify model to use (default: first model)\n");
+	printf("  -i, --in <file>       Specify input context file\n");
+	printf("  -o, --out <file>      Specify output vector database file\n");
+	printf("  -l, --list            Lists all available models\n");
+	printf("  -v, --verbose         Enable verbose logging\n");
+	printf("  -h, --help            Show this help message\n");
+}
+
+int main(int argc, char **argv) {
+	set_log_level(LOG_DEBUG);
+
+	const char *model_name = NULL;
+	const char *in_file = NULL;
+	const char *out_file = NULL;
+	int list_models = 0;
+	int verbose = 0;
+
+	static struct option long_options[] = {
+		{"model", required_argument, 0, 'm'},
+		{"in", required_argument, 0, 'i'},
+		{"out", required_argument, 0, 'o'},
+		{"list", no_argument, 0, 'l'},
+		{"verbose", no_argument, 0, 'v'},
+		{"help", no_argument, 0, 'h'},
+		{0, 0, 0, 0}
+	};
+
+	int opt;
+	int option_index = 0;
+	while ((opt = getopt_long(argc, argv, "m:i:o:lvh", long_options, &option_index)) != -1) {
+		switch (opt) {
+			case 'm':
+				model_name = optarg;
+				break;
+			case 'i':
+				in_file = optarg;
+				break;
+			case 'o':
+				out_file = optarg;
+				break;
+			case 'l':
+				list_models = 1;
+				break;
+			case 'v':
+				verbose = 1;
+				break;
+			case 'h':
+				show_help(argv[0]);
+				return 0;
+			default:
+				fprintf(stderr, "Usage: %s [-m model] [-i file] [-o file] [-lvh]\n", argv[0]);
+				return 1;
+		}
+	}
+
+	if (verbose == 0) {
+		llama_log_set(llama_log_callback, NULL);
+	}
+
+	if (list_models == 1) {
+		list_available_models();
+		return 0;
+	}
+
+	if (in_file == NULL) {
+		log_message(stderr, LOG_ERROR, "Input context file must be provided. Exiting...");
+		return 1;
+	}
+
+	if (out_file == NULL) {
+		log_message(stderr, LOG_ERROR, "Output vector context file must be provided. Exiting...");
+		return 1;
+	}
+
+	llama_backend_init();
+
+	const ModelConfig *cfg = NULL;
+	if (model_name != NULL) {
+		cfg = get_model_by_name(model_name);
+		if (cfg == NULL) {
+			log_message(stderr, LOG_ERROR, "Unknown model '%s'", model_name);
+			llama_backend_free();
+			return 1;
+		}
+	} else {
+		cfg = &models[0];
+	}
+
+	struct llama_model *model = llama_model_load_from_file(cfg->filepath, llama_model_default_params());
+	if (model == NULL) {
+		log_message(stderr, LOG_ERROR, "Unable to load embedding model");
+		llama_backend_free();
+		return 1;
+	}
+
+	struct llama_context_params cparams = llama_context_default_params();
+	cparams.embeddings = true;
+
+	struct llama_context *embed_ctx = llama_init_from_model(model, cparams);
+	if (embed_ctx == NULL) {
+		log_message(stderr, LOG_ERROR, "Failed to create embedding context");
+		llama_model_free(model);
+		llama_backend_free();
+		return 1;
+	}
+
+	FILE *context_fp = fopen(in_file, "r");
+	if (context_fp == NULL) {
+		log_message(stderr, LOG_ERROR, "Unable to open context file %s", in_file);
+		return 1;
+	}
+
+	VectorDB db;
+	vdb_init(&db, embed_ctx);
+
+	char line[1024];
+	while (fgets(line, sizeof(line), context_fp) != NULL) {
+		size_t len = strlen(line);
+		while (len > 0 && (line[len - 1] == '\n' || line[len - 1] == '\r')) {
+			line[len - 1] = '\0';
+			len--;
+		}
+		if (len == 0) {
+			continue;
+		}
+		vdb_add_document(&db, line);
+	}
+
+	if (vdb_save(&db, out_file) > 0) {
+		log_message(stderr, LOG_ERROR, "Something went wrong saving file %s", out_file);
+		fclose(context_fp);
+		return 1;
+	}
+
+	log_message(stdout, LOG_INFO, "Context vector database file %s successfully written", out_file);
+	fclose(context_fp);
+	return 0;
+}
-- 
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